title
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng

description
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3eJW8yT Andrew Ng is an Adjunct Professor, Computer Science at Stanford University. Kian Katanforoosh is a Lecturer, Computer Science at Stanford University. To follow along with the course schedule and syllabus, visit: http://cs230.stanford.edu/ Chapters: 0:00 Intro 3:30 Why is deep learning taking off 8:55 Tools of AI 12:50 Course Goals 19:37 Machine Learning Yearning 21:03 Class Overview 23:56 Machine Learning Deep Learning AI 28:06 Shopping Mall vs Internet Company 35:28 Agile vs Waterfall 37:08 Which classes should you take 39:21 Machine Learning vs CS230 42:28 Common Sequence 43:48 Most Meaningful Successes 46:48 Course Format 48:52 Course Structure 51:50 Course Life 54:00 Multimeter 54:21 Grading formula 55:08 Programming assignments 56:29 Object detection 57:11 Demonstration 57:51 Other Projects #andrewng #deeplearning

detail
{'title': 'Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng', 'heatmap': [{'end': 2973.487, 'start': 2924.603, 'weight': 1}], 'summary': "Stanford's cs230 deep learning course, in autumn 2018, introduces the impact of data digitization and the rise of deep learning, emphasizing the exponential growth of data, practical know-how in machine learning, ai's potential to transform industries, and the rise in demand for machine learning education. the course also discusses ai's impact on daily life and various industries, and provides details on logistics, curriculum, and deep learning applications & projects.", 'chapters': [{'end': 337.898, 'segs': [{'end': 63.309, 'src': 'embed', 'start': 35.653, 'weight': 1, 'content': [{'end': 39.996, 'text': 'and become experts at building and applying deep learning systems.', 'start': 35.653, 'duration': 4.343}, {'end': 46.6, 'text': 'Um, unlike many Stanford classes, this class will be more interactive than- than others.', 'start': 40.616, 'duration': 5.984}, {'end': 54.504, 'text': "uh, because this class will be offered in the flipped classroom format, where we'll ask you to watch a lot of the videos at home.", 'start': 46.6, 'duration': 7.904}, {'end': 63.309, 'text': 'uh, a lot of the deeplearning.ai content hosted on Coursera, thus preserving the classroom and discussion section time for much deeper discussions.', 'start': 54.504, 'duration': 8.805}], 'summary': 'Stanford class emphasizes interactive, flipped classroom approach for deep learning with coursera content.', 'duration': 27.656, 'max_score': 35.653, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg35653.jpg'}, {'end': 282.422, 'src': 'embed', 'start': 248.76, 'weight': 0, 'content': [{'end': 251.963, 'text': 'Like, why is it quote coming out of nowhere or whatever people say?', 'start': 248.76, 'duration': 3.203}, {'end': 259.813, 'text': 'Um, I think that the main reason that deep learning has been taking off, uh, and why, you know, suddenly all of you, hopefully,', 'start': 252.543, 'duration': 7.27}, {'end': 265.882, 'text': 'will be able to do really, um powerful things with it much more effectively than two or three years ago is the following', 'start': 259.813, 'duration': 6.069}, {'end': 275.275, 'text': "Um, for a lot of, over the last couple of decades with the digitization of society, we've just collected more and more data.", 'start': 266.263, 'duration': 9.012}, {'end': 282.422, 'text': 'Uh. so, for example, all of us spend a lot more time on our computers and smartphones now, and whenever you do things on the phone.', 'start': 275.636, 'duration': 6.786}], 'summary': "Deep learning's growth is fueled by increased data collection from digitization of society, making it more powerful and effective.", 'duration': 33.662, 'max_score': 248.76, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg248760.jpg'}], 'start': 6.991, 'title': 'Cs230 deep learning introduction', 'summary': 'Introduces the cs230 deep learning course, emphasizing the interactive and flipped classroom format, the teaching team, and the impact of data digitization on the sudden rise of deep learning, enabling more effective applications.', 'chapters': [{'end': 337.898, 'start': 6.991, 'title': 'Cs230 deep learning introduction', 'summary': 'Introduces the cs230 deep learning course, emphasizing the interactive and flipped classroom format, the teaching team, and the impact of data digitization on the sudden rise of deep learning, enabling more effective applications.', 'duration': 330.907, 'highlights': ['The chapter introduces the CS230 Deep Learning course, emphasizing the interactive and flipped classroom format, the teaching team, and the impact of data digitization on the sudden rise of deep learning, enabling more effective applications.', 'The main reason for the sudden rise of deep learning is the digitization of society, leading to the collection of more data, making it possible for individuals to do more powerful things with deep learning than two or three years ago.']}], 'duration': 330.907, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg6991.jpg', 'highlights': ['The main reason for the sudden rise of deep learning is the digitization of society, leading to the collection of more data, making it possible for individuals to do more powerful things with deep learning than two or three years ago.', 'The chapter introduces the CS230 Deep Learning course, emphasizing the interactive and flipped classroom format, the teaching team, and the impact of data digitization on the sudden rise of deep learning, enabling more effective applications.']}, {'end': 846.628, 'segs': [{'end': 453.401, 'src': 'embed', 'start': 410.459, 'weight': 0, 'content': [{'end': 415.783, 'text': "uh, up to some- usually up to some theoretical limit called Bayes error rate, which you'll learn about later this course there.", 'start': 410.459, 'duration': 5.324}, {'end': 422.128, 'text': "But- but performance can never exceed 100 percent, but- but sometimes, uh, uh, sometimes there's some ceiling on the performance.", 'start': 415.803, 'duration': 6.325}, {'end': 430.258, 'text': "But we've been able to measure on many, many problems uh, with not yet- I think that across machine learning and deep learning broadly,", 'start': 422.628, 'duration': 7.63}, {'end': 432.621, 'text': "I think we've not yet hit the limits of scale.", 'start': 430.258, 'duration': 2.363}, {'end': 438.608, 'text': "And by scale I mean um the amount of data you can throw at a problem that's still useful for the problem,", 'start': 432.781, 'duration': 5.827}, {'end': 441.432, 'text': 'as well as um the size of the neural networks.', 'start': 438.608, 'duration': 2.824}, {'end': 446.315, 'text': 'And I think, um, you know, GPU computing, uh, uh,', 'start': 441.892, 'duration': 4.423}, {'end': 453.401, 'text': 'was a large part of how we were able to go from training small to medium to now training very large neural networks.', 'start': 446.315, 'duration': 7.086}], 'summary': 'Performance can never exceed 100%, but scale of data and neural networks has not reached limits yet.', 'duration': 42.942, 'max_score': 410.459, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg410459.jpg'}, {'end': 513.509, 'src': 'embed', 'start': 475.633, 'weight': 1, 'content': [{'end': 478.834, 'text': 'uh, uh, you know, processor on your, on your smartwatch, right?', 'start': 475.633, 'duration': 3.201}, {'end': 485.396, 'text': 'And so what used to be an amount of computation that was accessible only to you know large research labs in Stanford.', 'start': 478.874, 'duration': 6.522}, {'end': 487.556, 'text': 'They could spend $100, 000 on GPUs.', 'start': 485.416, 'duration': 2.14}, {'end': 491.678, 'text': 'Today, you could rent that on a, on a cloud relatively inexpensively.', 'start': 487.756, 'duration': 3.922}, {'end': 500.78, 'text': 'And so the availability of relatively large neural network training capabilities has allowed really students, really almost everyone, many people,', 'start': 491.858, 'duration': 8.922}, {'end': 503.162, 'text': 'not not many, many people, um.', 'start': 500.78, 'duration': 2.382}, {'end': 507.465, 'text': 'to have enough access, computational power to train what.', 'start': 503.162, 'duration': 4.303}, {'end': 513.509, 'text': 'uh, large enough neural networks to drive very high acc- levels of accuracy for a lot of applications, right?', 'start': 507.465, 'duration': 6.044}], 'summary': 'Accessible neural network training on cloud drives high accuracy for many applications', 'duration': 37.876, 'max_score': 475.633, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg475633.jpg'}, {'end': 730.98, 'src': 'embed', 'start': 701.543, 'weight': 2, 'content': [{'end': 703.044, 'text': 'game theory algorithms are getting better.', 'start': 701.543, 'duration': 1.501}, {'end': 707.686, 'text': 'And so the, the, the field of AI marches forward, um, across all of these different disciplines.', 'start': 703.084, 'duration': 4.602}, {'end': 719.908, 'text': 'But the one that has taken off, you know, in in incredibly quickly is deep learning, machine learning, and I think a lot of this progress was, uh.', 'start': 708.947, 'duration': 10.961}, {'end': 724.933, 'text': 'initially driven uh by scale scale of data and scale of computation.', 'start': 719.908, 'duration': 5.025}, {'end': 729.959, 'text': 'The fact that we can now get tons of data, throw it into general network and get good performance.', 'start': 725.074, 'duration': 4.885}, {'end': 730.98, 'text': 'But uh.', 'start': 730.399, 'duration': 0.581}], 'summary': 'Ai advances in game theory algorithms and deep learning driven by scale of data and computation.', 'duration': 29.437, 'max_score': 701.543, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg701543.jpg'}, {'end': 787.754, 'src': 'embed', 'start': 760.018, 'weight': 5, 'content': [{'end': 767.802, 'text': 'but now the triple forces of also a lot of algorithmic innovation and massive investment, um, is continuing to make deep learning, uh,', 'start': 760.018, 'duration': 7.784}, {'end': 769.343, 'text': 'make tremendous progress.', 'start': 767.802, 'duration': 1.541}, {'end': 779.028, 'text': 'And so in CS230, uh, we kind of have, um, uh, uh, you know, I, I, I think, uh, two main goals.', 'start': 770.382, 'duration': 8.646}, {'end': 785.232, 'text': 'Uh, the first is to um, have you, uh, become expert in the deep learning algorithms??', 'start': 779.288, 'duration': 5.944}, {'end': 787.754, 'text': 'Have you, have you learned the state of the art??', 'start': 785.412, 'duration': 2.342}], 'summary': 'Cs230 aims to make students experts in deep learning algorithms and state-of-the-art advancements.', 'duration': 27.736, 'max_score': 760.018, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg760018.jpg'}], 'start': 338.098, 'title': 'Impact of data and rise of deep learning', 'summary': 'Discusses the exponential growth of data and the superior performance of large neural networks, as well as the rapid rise and progress of deep learning in ai driven by algorithmic innovation, investment, and applications to various problems.', 'chapters': [{'end': 491.678, 'start': 338.098, 'title': 'Impact of data and neural networks', 'summary': 'Discusses the exponential growth of data and the superior performance of large neural networks in handling vast amounts of data, showcasing their potential to continue scaling for improved results across different problems and fields of deep learning.', 'duration': 153.58, 'highlights': ['The performance of traditional learning algorithms plateaus even with an increase in data, while larger neural networks display continuous improvement, potentially reaching the theoretical limit called Bayes error rate.', 'The size of neural networks and the amount of data thrown at a problem are crucial for achieving useful results, and the advancements in GPU computing have facilitated the transition from training small to very large neural networks.', 'The evolution of computational power has made what was once accessible only to large research labs now available for rent on a cloud at a relatively inexpensive cost, showcasing the scalability and accessibility of computational resources.']}, {'end': 846.628, 'start': 491.858, 'title': 'Rise of deep learning in ai', 'summary': 'Discusses the rapid rise and progress of deep learning in the field of ai, driven by the availability of large neural network training capabilities, algorithmic innovation, and massive investment, with a focus on becoming experts in deep learning algorithms and applying them to various problems.', 'duration': 354.77, 'highlights': ['The availability of large neural network training capabilities has allowed many people to have enough access to computational power to train large enough neural networks, driving high levels of accuracy for various applications.', 'Deep learning has rapidly advanced due to scale of data, scale of computation, and algorithmic innovation, leading to tremendous progress and making it a valuable brand in the field of AI.', 'The chapter aims to make students become experts in deep learning algorithms and provide them with the know-how to apply these algorithms to various problems.']}], 'duration': 508.53, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg338098.jpg', 'highlights': ['The performance of traditional learning algorithms plateaus even with an increase in data, while larger neural networks display continuous improvement, potentially reaching the theoretical limit called Bayes error rate.', 'The availability of large neural network training capabilities has allowed many people to have enough access to computational power to train large enough neural networks, driving high levels of accuracy for various applications.', 'Deep learning has rapidly advanced due to scale of data, scale of computation, and algorithmic innovation, leading to tremendous progress and making it a valuable brand in the field of AI.', 'The size of neural networks and the amount of data thrown at a problem are crucial for achieving useful results, and the advancements in GPU computing have facilitated the transition from training small to very large neural networks.', 'The evolution of computational power has made what was once accessible only to large research labs now available for rent on a cloud at a relatively inexpensive cost, showcasing the scalability and accessibility of computational resources.', 'The chapter aims to make students become experts in deep learning algorithms and provide them with the know-how to apply these algorithms to various problems.']}, {'end': 1248.29, 'segs': [{'end': 884.943, 'src': 'embed', 'start': 862.703, 'weight': 4, 'content': [{'end': 873.254, 'text': 'And Um, if you, uh, uh and and I think that, uh, what you can learn from um you know the Internet, or from, uh,', 'start': 862.703, 'duration': 10.551}, {'end': 879.641, 'text': 'purely academic sources or from reading research papers, is a lot of the technical aspects of machine learning and deep learning.', 'start': 873.254, 'duration': 6.387}, {'end': 884.943, 'text': 'But, uh, there are a lot of other practical aspects of how to get these algorithms to work.', 'start': 880.141, 'duration': 4.802}], 'summary': 'Learning from academic sources: technical aspects of ml and dl, practical aspects important.', 'duration': 22.24, 'max_score': 862.703, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg862703.jpg'}, {'end': 931.821, 'src': 'embed', 'start': 904.195, 'weight': 2, 'content': [{'end': 906.998, 'text': 'And I think you know I actually spent a lot of time thinking about uh.', 'start': 904.195, 'duration': 2.803}, {'end': 913.946, 'text': 'so actually, uh, late last night I I actually stayed up very late last night reading this new book by um John Osterhout on, uh, uh,', 'start': 906.998, 'duration': 6.948}, {'end': 914.866, 'text': 'software architecture.', 'start': 913.946, 'duration': 0.92}, {'end': 922.093, 'text': "Right? And I think that, um, there's a huge difference between, you know, a junior software engineer and a senior software engineer.", 'start': 915.467, 'duration': 6.626}, {'end': 926.576, 'text': 'Maybe everyone understands the C++ and the Python and the Java syntax.', 'start': 922.213, 'duration': 4.363}, {'end': 929.719, 'text': 'You know, you can get that from from a from you know, you just figure out.', 'start': 926.596, 'duration': 3.123}, {'end': 930.82, 'text': 'hey, this is how C++ works.', 'start': 929.719, 'duration': 1.101}, {'end': 931.821, 'text': 'this is how Java works.', 'start': 930.82, 'duration': 1.001}], 'summary': 'Contrasting junior and senior software engineers, emphasizing language syntax understanding.', 'duration': 27.626, 'max_score': 904.195, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg904195.jpg'}, {'end': 1057.882, 'src': 'embed', 'start': 1031.775, 'weight': 1, 'content': [{'end': 1041.403, 'text': 'your ability to make a good judgment decision about should you spend another week collecting more data or should you spend another week searching for hyperparameters or tuning parameters in your neural network?', 'start': 1031.775, 'duration': 9.628}, {'end': 1049.492, 'text': "That's the type of, decision that if you make it correctly can easily make your team 2x or 3x or maybe 10x more efficient.", 'start': 1041.663, 'duration': 7.829}, {'end': 1057.882, 'text': 'And so one thing we hope to do in this class is to more systematically impart to you this, this type of knowledge, right?', 'start': 1049.752, 'duration': 8.13}], 'summary': 'Making the right decision can make a team 2x-10x more efficient', 'duration': 26.107, 'max_score': 1031.775, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1031775.jpg'}, {'end': 1155.245, 'src': 'embed', 'start': 1126.486, 'weight': 0, 'content': [{'end': 1133.131, 'text': 'for three days was able to build a machine learning system that outperformed what this group of 30 people had been able to do after about three months.', 'start': 1126.486, 'duration': 6.645}, {'end': 1135.832, 'text': "So was that- that's like a, I don't know.", 'start': 1133.231, 'duration': 2.601}, {'end': 1138.394, 'text': "that's more than a 10x difference in-, in- in speed, right?", 'start': 1135.832, 'duration': 2.562}, {'end': 1146.399, 'text': 'And- and a lot of the differences between the great machine learning teams versus the less experienced ones is actually not just do you know how,', 'start': 1138.514, 'duration': 7.885}, {'end': 1148.22, 'text': 'to you know implement?', 'start': 1146.399, 'duration': 1.821}, {'end': 1155.245, 'text': "uh uh, It's not just do you know how to implement an LSTM right in, in in TensorFlow or Keras or whatever?", 'start': 1148.22, 'duration': 7.025}], 'summary': "Built ml system outperforming 30 people's 3-month effort in 3 days, a 10x speed difference.", 'duration': 28.759, 'max_score': 1126.486, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1126486.jpg'}, {'end': 1224.068, 'src': 'embed', 'start': 1196.941, 'weight': 3, 'content': [{'end': 1202.463, 'text': "But if you've had a little bit of other machine learning background, um, machine learning yearning is a book that I've been write.", 'start': 1196.941, 'duration': 5.522}, {'end': 1204.023, 'text': "uh, that I've been, that I've been working on.", 'start': 1202.463, 'duration': 1.56}, {'end': 1205.484, 'text': "Uh, it's still in draft form.", 'start': 1204.043, 'duration': 1.441}, {'end': 1208.425, 'text': 'But, um uh, if any of you want to.', 'start': 1205.904, 'duration': 2.521}, {'end': 1212.706, 'text': 'but machine learning yearning is, uh, my attempt to try to turn,', 'start': 1208.425, 'duration': 4.281}, {'end': 1218.987, 'text': 'uh gather best principles for turning machine learning from a black art into systematic engineering discipline.', 'start': 1212.706, 'duration': 6.281}, {'end': 1224.068, 'text': 'And so, uh, if you go to this website, uh uh, you know this website will send you.', 'start': 1219.107, 'duration': 4.961}], 'summary': "The book 'machine learning yearning' aims to systematize machine learning principles.", 'duration': 27.127, 'max_score': 1196.941, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1196941.jpg'}], 'start': 846.628, 'title': 'Practical know-how in machine learning and software engineering', 'summary': 'Emphasizes the significance of practical know-how in machine learning and software engineering, highlighting the lack of academic courses covering these aspects and providing examples of its impact, such as an individual outperforming 30-member teams in just three days.', 'chapters': [{'end': 904.155, 'start': 846.628, 'title': 'Practical know-how in machine learning', 'summary': 'Emphasizes the importance of practical know-how in machine learning, highlighting the lack of academic courses covering these aspects and the need to provide tools and know-how for making machine learning algorithms work effectively.', 'duration': 57.527, 'highlights': ['The lack of academic courses covering practical aspects of machine learning and the need to fill this gap by providing tools and know-how for making algorithms work effectively.', 'The importance of practical know-how in machine learning, emphasizing the need to learn beyond technical aspects and gain insights on making algorithms work effectively.', "The author's experience of learning lessons about practical aspects of machine learning from various machine learning projects, underscoring the value of real-world exposure in acquiring know-how.", 'The significance of gaining practical know-how in machine learning, highlighting the limitations of learning purely from academic sources and research papers.']}, {'end': 1248.29, 'start': 904.195, 'title': 'The importance of practical know-how in software engineering and machine learning', 'summary': 'Discusses the critical difference between junior and senior software engineers and the value of practical know-how in efficiently building machine learning systems, citing examples of 30-member teams failing to produce results while an individual outperformed them in just three days.', 'duration': 344.095, 'highlights': ['The critical difference between junior and senior software engineers lies in high-level judgment decisions and system architecture, not just understanding syntax.', "The practical know-how of efficiently building machine learning systems can significantly impact a team's efficiency, potentially making them 2x, 3x, or even 10x more efficient.", "An individual outperformed a 30-member team's three months of work in just three days, showcasing the impact of practical know-how in machine learning.", "The importance of making good judgment decisions in machine learning projects, such as deciding whether to spend time collecting more data or tuning parameters, can significantly impact a team's efficiency.", "The book 'Machine Learning Yearning' aims to turn machine learning from a black art into a systematic engineering discipline, demonstrating the importance of practical know-how in the field."]}], 'duration': 401.662, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg846628.jpg', 'highlights': ["An individual outperformed a 30-member team's three months of work in just three days, showcasing the impact of practical know-how in machine learning.", "The practical know-how of efficiently building machine learning systems can significantly impact a team's efficiency, potentially making them 2x, 3x, or even 10x more efficient.", 'The critical difference between junior and senior software engineers lies in high-level judgment decisions and system architecture, not just understanding syntax.', "The book 'Machine Learning Yearning' aims to turn machine learning from a black art into a systematic engineering discipline, demonstrating the importance of practical know-how in the field.", 'The lack of academic courses covering practical aspects of machine learning and the need to fill this gap by providing tools and know-how for making algorithms work effectively.']}, {'end': 2353.328, 'segs': [{'end': 1324.226, 'src': 'embed', 'start': 1297.78, 'weight': 2, 'content': [{'end': 1303.083, 'text': 'uh, uh, really best attempt to deliver a great, uh, on-campus deep learning course.', 'start': 1297.78, 'duration': 5.303}, {'end': 1306.687, 'text': 'Um, and so, oh, interesting.', 'start': 1303.784, 'duration': 2.903}, {'end': 1316.718, 'text': "Uh-huh Um, um, and so the format of this class is, um, what's called the flipped classroom class.", 'start': 1308.109, 'duration': 8.609}, {'end': 1318.62, 'text': 'And what that means is that.', 'start': 1317.019, 'duration': 1.601}, {'end': 1324.226, 'text': "so you know, and and I think, uh, I've taught on SCPD for a long time, right, for you know, uh, many, many years, I guess.", 'start': 1318.62, 'duration': 5.606}], 'summary': 'Effort to deliver on-campus deep learning course using flipped classroom format.', 'duration': 26.446, 'max_score': 1297.78, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1297780.jpg'}, {'end': 1427.358, 'src': 'embed', 'start': 1400.83, 'weight': 4, 'content': [{'end': 1407.897, 'text': 'I think Kian and I will split these sessions roughly 50-50, uh, as well as for the deeper small group discussion sessions you have with the TAs.', 'start': 1400.83, 'duration': 7.067}, {'end': 1416.827, 'text': 'That lets you spend much more time interacting with the TAs, uh, interacting with Kian and me and going deeper into the material than just the than,', 'start': 1408.378, 'duration': 8.449}, {'end': 1420.671, 'text': 'than the, than the um, than the, than the online content.', 'start': 1416.827, 'duration': 3.844}, {'end': 1421.391, 'text': 'uh, by itself.', 'start': 1420.671, 'duration': 0.72}, {'end': 1427.358, 'text': 'And, uh, that will also give us more opportunities to give you um advanced material.', 'start': 1421.752, 'duration': 5.606}], 'summary': 'Kian and i will split sessions 50-50, allowing more time for ta interaction and advanced material.', 'duration': 26.528, 'max_score': 1400.83, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1400830.jpg'}, {'end': 1525.727, 'src': 'embed', 'start': 1490.442, 'weight': 0, 'content': [{'end': 1492.564, 'text': 'but electricity transform every major industry.', 'start': 1490.442, 'duration': 2.122}, {'end': 1502.889, 'text': 'And I think machine learning and deep learning has reached a level of maturity where we see a surprisingly clear path for it to also transform pretty much every industry.', 'start': 1493.184, 'duration': 9.705}, {'end': 1509.053, 'text': 'And I hope that through um this class, uh, after these next 10 weeks,', 'start': 1503.449, 'duration': 5.604}, {'end': 1516.159, 'text': 'that all of you will be well qualified to go into these different industries and help transform them as well.', 'start': 1509.053, 'duration': 7.106}, {'end': 1525.727, 'text': "Um, and I think you know, after this class, I hope that you'll be well qualified to like get a job at some of the big, shiny tech companies that have,", 'start': 1516.179, 'duration': 9.548}], 'summary': 'Electricity and machine learning will transform every industry, enabling students to qualify for jobs at big tech companies.', 'duration': 35.285, 'max_score': 1490.442, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1490442.jpg'}, {'end': 1926.018, 'src': 'embed', 'start': 1873.894, 'weight': 3, 'content': [{'end': 1883.201, 'text': "Um, I think, with the rise of the AI era or AI machine learning or deep learning, whatever you want to call it um, we're learning that if you have,", 'start': 1873.894, 'duration': 9.307}, {'end': 1897.752, 'text': 'you know, a traditional company plus a few neural networks, that does not by itself turn the company into an AI company.', 'start': 1883.201, 'duration': 14.551}, {'end': 1903.54, 'text': 'And I think what will define the great AI teams of the future?', 'start': 1899.215, 'duration': 4.325}, {'end': 1913.25, 'text': "um, uh, will be do you know how to organize your own work and organize your team's work to do the things that modern you know?", 'start': 1903.54, 'duration': 9.71}, {'end': 1917.055, 'text': 'machine learning and deep learning and other AI things lets you do really well.', 'start': 1913.25, 'duration': 3.805}, {'end': 1921.796, 'text': "Um, and I think, um, having the AI teams at Google and Baidu, I'm a bit biased.", 'start': 1917.575, 'duration': 4.221}, {'end': 1926.018, 'text': 'I think, you know, Google and Baidu are great and ahead of many other companies in thinking this through.', 'start': 1921.836, 'duration': 4.182}], 'summary': 'Rise of ai requires organized teams; google and baidu excel in this.', 'duration': 52.124, 'max_score': 1873.894, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1873894.jpg'}, {'end': 2291.132, 'src': 'embed', 'start': 2269.401, 'weight': 1, 'content': [{'end': 2277.846, 'text': 'been rising dramatically, because, uh, uh, I mean you know, the majority of CS PhD applicants at Stanford, you know,', 'start': 2269.401, 'duration': 8.445}, {'end': 2281.548, 'text': 'are applying to do work in machine learning or applying to do work in AI.', 'start': 2277.846, 'duration': 3.702}, {'end': 2287.05, 'text': "And I think all of you can kind of see that there's such a shortage of machine learning engineers, right?", 'start': 2282.048, 'duration': 5.002}, {'end': 2291.132, 'text': "And and there's a little bit of and and and I think that shortage will continue for a long time.", 'start': 2287.27, 'duration': 3.862}], 'summary': 'Shortage of machine learning engineers driving rise in cs phd applicants at stanford.', 'duration': 21.731, 'max_score': 2269.401, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2269401.jpg'}, {'end': 2337.396, 'src': 'embed', 'start': 2308.641, 'weight': 6, 'content': [{'end': 2314.884, 'text': "I feel like there's so many ideas for great machine learning projects that exactly zero people seem to be working on,", 'start': 2308.641, 'duration': 6.243}, {'end': 2317.365, 'text': "because there just aren't enough machine learning people in the world right now.", 'start': 2314.884, 'duration': 2.481}, {'end': 2324.99, 'text': 'So by learning these skills, you could- you have many opportunities to be the first one to do something very exciting and meaningful.', 'start': 2317.566, 'duration': 7.424}, {'end': 2330.693, 'text': 'Right? And, and, and, um, you probably read in the newspapers about how much money machine learning people make.', 'start': 2325.27, 'duration': 5.423}, {'end': 2331.733, 'text': "I'm actually much less.", 'start': 2330.813, 'duration': 0.92}, {'end': 2337.396, 'text': "I actually find that I hope a lot of you make a lot of money, but I actually personally don't find that that you know as as exciting.", 'start': 2331.733, 'duration': 5.663}], 'summary': 'Limited machine learning experts creates project opportunities, high earnings potential.', 'duration': 28.755, 'max_score': 2308.641, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2308641.jpg'}], 'start': 1248.971, 'title': 'Ai and machine learning', 'summary': "Covers flipped classroom model for deep learning, ai's potential to transform industries, and the rising demand and opportunities in machine learning education, highlighting the need for organizational changes and shortage of skilled professionals.", 'chapters': [{'end': 1451.009, 'start': 1248.971, 'title': 'Flipped classroom for deep learning', 'summary': 'Discusses the format of the class, which follows a flipped classroom model, leveraging higher quality videos and online exercises to preserve class time for deeper interactions, and splitting sessions between instructors and tas.', 'duration': 202.038, 'highlights': ['The class format follows a flipped classroom approach, utilizing high-quality videos and online exercises to optimize time efficiency for students.', 'The class sessions are split between instructors and TAs, allowing for deeper interactions and discussions, as well as providing opportunities for advanced material and additional practice.', "The co-founder's background in education and the use of the flipped classroom model demonstrate a thoughtful approach to delivering a deep learning course with a focus on practical application and interaction."]}, {'end': 2129.565, 'start': 1451.009, 'title': "Ai's transformation of industries", 'summary': 'Discusses how machine learning and deep learning, akin to the rise of electricity, has the potential to transform numerous industries, with a focus on the need for organizational changes within companies to leverage ai effectively.', 'duration': 678.556, 'highlights': ['The rise of electricity transformed every industry, and machine learning and deep learning has reached a level of maturity where it has the potential to transform pretty much every industry.', 'The need for companies to organize their teams to effectively leverage the capabilities of modern machine learning and deep learning is emphasized, drawing parallels with the organizational changes seen in internet companies.', 'Discussion about the qualities of great AI teams and the need to organize work and teams to effectively utilize modern machine learning and deep learning capabilities.']}, {'end': 2353.328, 'start': 2129.565, 'title': 'Machine learning education and opportunities', 'summary': 'Discusses the importance of machine learning education, the rising demand for machine learning engineers, and the opportunities for meaningful and impactful work, as well as the shortage of machine learning people in the world.', 'duration': 223.763, 'highlights': ['The rising demand for machine learning education has been driven by the shortage of machine learning engineers, indicated by the majority of CS PhD applicants at Stanford applying to work in machine learning or AI.', 'Machine learning expertise offers opportunities to work on meaningful projects and research, with an emphasis on the shortage of machine learning engineers in the world and the potential for impactful work in various fields.', 'The chapter emphasizes the potential for individuals to work on groundbreaking projects and make a meaningful impact through the application of machine learning skills, beyond monetary incentives.']}], 'duration': 1104.357, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg1248971.jpg', 'highlights': ['The rise of electricity transformed every industry, and machine learning and deep learning has the potential to transform pretty much every industry.', 'The rising demand for machine learning education has been driven by the shortage of machine learning engineers, indicated by the majority of CS PhD applicants at Stanford applying to work in machine learning or AI.', 'The class format follows a flipped classroom approach, utilizing high-quality videos and online exercises to optimize time efficiency for students.', 'The need for companies to organize their teams to effectively leverage the capabilities of modern machine learning and deep learning is emphasized, drawing parallels with the organizational changes seen in internet companies.', 'The class sessions are split between instructors and TAs, allowing for deeper interactions and discussions, as well as providing opportunities for advanced material and additional practice.', "The co-founder's background in education and the use of the flipped classroom model demonstrate a thoughtful approach to delivering a deep learning course with a focus on practical application and interaction.", 'Machine learning expertise offers opportunities to work on meaningful projects and research, with an emphasis on the shortage of machine learning engineers in the world and the potential for impactful work in various fields.', 'Discussion about the qualities of great AI teams and the need to organize work and teams to effectively utilize modern machine learning and deep learning capabilities.', 'The chapter emphasizes the potential for individuals to work on groundbreaking projects and make a meaningful impact through the application of machine learning skills, beyond monetary incentives.']}, {'end': 2626.775, 'segs': [{'end': 2380.6, 'src': 'embed', 'start': 2353.388, 'weight': 3, 'content': [{'end': 2360.42, 'text': 'I think that it, it really, your unique skills in deep learning will give you opportunities to do that, I think hopefully very meaningful work.', 'start': 2353.388, 'duration': 7.032}, {'end': 2370.191, 'text': 'Um, but because of this massive, massive, uh uh rise in demand for machine learning education um, there are- so for a long time,', 'start': 2361.224, 'duration': 8.967}, {'end': 2374.355, 'text': 'CS239 machine learning was the core machine learning class at Stanford.', 'start': 2370.191, 'duration': 4.164}, {'end': 2380.6, 'text': 'Um, and then, uh, CS230 is actually the newest, uh, new creation, I think.', 'start': 2374.775, 'duration': 5.825}], 'summary': 'Rise in demand for machine learning education has led to creation of new classes like cs230 at stanford.', 'duration': 27.212, 'max_score': 2353.388, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2353388.jpg'}, {'end': 2472.033, 'src': 'embed', 'start': 2416.736, 'weight': 0, 'content': [{'end': 2423.321, 'text': "That's not the- the- the degree of overlap is fine that you actually learn different things if you take any two of these classes at the same time.", 'start': 2416.736, 'duration': 6.585}, {'end': 2425.923, 'text': 'Um, CS239 is machine learning.', 'start': 2423.882, 'duration': 2.041}, {'end': 2433.05, 'text': "It's the most mathematical of these classes, uh, and we go much more- CS239 goes much more into the mathematical derivations of the algorithms.", 'start': 2426.084, 'duration': 6.966}, {'end': 2436.932, 'text': 'Um, CS229A is applied machine learning.', 'start': 2433.67, 'duration': 3.262}, {'end': 2441.596, 'text': "It's much less mathematical but spends a bit more time on the practical aspects.", 'start': 2437.213, 'duration': 4.383}, {'end': 2446.859, 'text': "Uh, it's actually the easiest on-ground to machine learning as well as the least mathematical of these classes.", 'start': 2442.216, 'duration': 4.643}, {'end': 2449.141, 'text': 'CS230 is somewhere in between.', 'start': 2447.32, 'duration': 1.821}, {'end': 2454.045, 'text': "It's, it's a bit more, it's more math well than CS229A, less mathematical than CS230.", 'start': 2449.161, 'duration': 4.884}, {'end': 2461.21, 'text': 'But where CS230, uh, focuses on is on deep learning, which is just one small subset of machine learning,', 'start': 2454.425, 'duration': 6.785}, {'end': 2463.031, 'text': 'but it is the hardest subset of machine learning.', 'start': 2461.21, 'duration': 1.821}, {'end': 2468.793, 'text': 'Whereas there are a lot of other machine learning algorithms from you know PCA, k-means, recommender systems, uh,', 'start': 2463.431, 'duration': 5.362}, {'end': 2472.033, 'text': 'support vector machines that are also very useful that I use.', 'start': 2468.793, 'duration': 3.24}], 'summary': 'Cs239 is the most mathematical, cs229a is less mathematical, and cs230 focuses on deep learning. cs230 is the hardest subset of machine learning.', 'duration': 55.297, 'max_score': 2416.736, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2416736.jpg'}, {'end': 2584.328, 'src': 'embed', 'start': 2509.726, 'weight': 5, 'content': [{'end': 2511.206, 'text': "because that's actually not the point.", 'start': 2509.726, 'duration': 1.48}, {'end': 2518.429, 'text': 'Uh, what has happened in the last decade is the amount of math you need to be a great machine learning person has actually decreased, I think.', 'start': 2511.546, 'duration': 6.883}, {'end': 2521.432, 'text': 'Uh, and I wanted to um.', 'start': 2519.089, 'duration': 2.343}, {'end': 2528.801, 'text': 'do less math in CS230, but spend more time teaching you the practical know-how of how to actually apply these algorithms right?', 'start': 2521.432, 'duration': 7.369}, {'end': 2530.743, 'text': 'So um, yeah.', 'start': 2528.861, 'duration': 1.882}, {'end': 2533.366, 'text': 'And I think 2DNA is fairly easy as this class.', 'start': 2530.923, 'duration': 2.443}, {'end': 2534.287, 'text': "That's the most technical.", 'start': 2533.386, 'duration': 0.901}, {'end': 2536.85, 'text': 'This is the most, most hands-on applied.', 'start': 2534.687, 'duration': 2.163}, {'end': 2539.953, 'text': 'You do a lot of projects on different different topics, right?', 'start': 2536.87, 'duration': 3.083}, {'end': 2547.058, 'text': 'And I think these causes are often the foundation, or some subset of these are often the foundational causes, as students say um, uh,', 'start': 2539.993, 'duration': 7.065}, {'end': 2551.822, 'text': 'because if you say learn deep learning, so common sequence for students is the.', 'start': 2547.058, 'duration': 4.764}, {'end': 2554.564, 'text': 'you know, learn the foundations of machine learning.', 'start': 2551.822, 'duration': 2.742}, {'end': 2559.779, 'text': 'um, or uh, machine learning or deep learning.', 'start': 2554.564, 'duration': 5.215}, {'end': 2561.46, 'text': 'So you have the foundation.', 'start': 2560.3, 'duration': 1.16}, {'end': 2563.721, 'text': 'uh, first before you go,', 'start': 2561.46, 'duration': 2.261}, {'end': 2572.064, 'text': 'which then often sets you up to later go deeper into computer vision or natural language processing or robotics or deep reinforcement learning.', 'start': 2563.721, 'duration': 8.343}, {'end': 2578.166, 'text': 'And so common sequencing, that common tactic that Stanford students take is to use these as a foundation.', 'start': 2572.144, 'duration': 6.022}, {'end': 2582.387, 'text': 'You see a bit of everything from computer vision, natural language processing, speech recognition.', 'start': 2578.566, 'duration': 3.821}, {'end': 2584.328, 'text': "you know, we'll touch a little bit on self-driving cars.", 'start': 2582.387, 'duration': 1.941}], 'summary': 'Decrease in required math for machine learning; focus on practical know-how and hands-on projects.', 'duration': 74.602, 'max_score': 2509.726, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2509726.jpg'}], 'start': 2353.388, 'title': 'Machine learning education', 'summary': 'Discusses the rise in demand for machine learning education at stanford, including the introduction of classes such as cs230 and cs229a to meet diverse learning needs. it also compares machine learning classes, highlighting their focus areas, and emphasizes the importance of foundational learning before specialization.', 'chapters': [{'end': 2416.695, 'start': 2353.388, 'title': 'Rise in demand for machine learning education', 'summary': 'Discusses the rise in demand for machine learning education, particularly at stanford, highlighting the introduction of new classes such as cs230 and cs229a, aiming to meet the demand and provide diverse learning opportunities for students.', 'duration': 63.307, 'highlights': ['The massive rise in demand for machine learning education has led to the introduction of new classes at Stanford such as CS230 and CS229A, aiming to provide diverse learning opportunities for students.', 'CS230 is the newest creation, while CS239 machine learning was the core machine learning class at Stanford for a long time.', 'Students are encouraged to collect different machine learning classes, as each is designed to teach different things and not have too much overlap.']}, {'end': 2533.366, 'start': 2416.736, 'title': 'Machine learning classes comparison', 'summary': 'Discusses the differences between cs239, cs229a, and cs230 machine learning classes, highlighting their focus on mathematical derivations, practical aspects, and deep learning, and emphasizes the decreasing importance of math in becoming a great machine learning person.', 'duration': 116.63, 'highlights': ['CS230 focuses on deep learning, which is the hardest subset of machine learning, making it ideal for listing deep learning on a resume.', 'CS239 delves much more into the mathematical derivations of machine learning algorithms, offering practical know-how in applying these algorithms.', 'CS229A is the easiest on-ground to machine learning and less mathematical, focusing more on the practical aspects of machine learning.', 'The chapter emphasizes the decreasing importance of math in becoming a great machine learning person, aiming to teach more practical know-how in applying machine learning algorithms.']}, {'end': 2626.775, 'start': 2533.386, 'title': 'Foundation of machine learning and ai sequencing', 'summary': 'Discusses the foundational causes for studying machine learning and ai, emphasizing the importance of learning the basics before delving into specialized areas such as computer vision, natural language processing, and robotics.', 'duration': 93.389, 'highlights': ['Students often start with the foundational causes of machine learning before moving on to specialized areas, setting them up for deeper learning in computer vision, natural language processing, robotics, and deep reinforcement learning.', 'The importance of learning the basics of machine learning and AI is emphasized before diving into specialized fields, which can lead to decision-making by engineers and product managers in the AI era.', 'The course involves hands-on projects covering various topics such as computer vision, natural language processing, speech recognition, and self-driving cars.']}], 'duration': 273.387, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2353388.jpg', 'highlights': ['CS230 is the newest creation, focusing on deep learning, the hardest subset of machine learning.', 'CS239 delves into mathematical derivations of machine learning algorithms, offering practical know-how.', 'CS229A is the easiest on-ground to machine learning, focusing more on practical aspects.', 'The massive rise in demand for machine learning education led to the introduction of new classes at Stanford.', 'Students are encouraged to collect different machine learning classes to avoid too much overlap.', 'Students often start with foundational causes of machine learning before moving on to specialized areas.', 'The importance of learning the basics of machine learning and AI is emphasized before diving into specialized fields.', 'The course involves hands-on projects covering various topics such as computer vision, natural language processing, speech recognition, and self-driving cars.', 'The chapter emphasizes the decreasing importance of math in becoming a great machine learning person.']}, {'end': 2918.438, 'segs': [{'end': 2706.194, 'src': 'embed', 'start': 2657.336, 'weight': 0, 'content': [{'end': 2660.297, 'text': "Every time you use a web search engine, there's a learning algorithm.", 'start': 2657.336, 'duration': 2.961}, {'end': 2661.998, 'text': "that's improving the quality of the search results.", 'start': 2660.297, 'duration': 1.701}, {'end': 2666.901, 'text': "Uh, there's also a learning algorithm trying to show you the most relevant ads and this helps those companies actually make a lot of money.", 'start': 2662.118, 'duration': 4.783}, {'end': 2670.964, 'text': 'Uh, every time it turns out that um uh, actually,', 'start': 2667.621, 'duration': 3.343}, {'end': 2676.35, 'text': 'both Google and Baidu have publicly said that over 10% of searches on mobile are through voice search.', 'start': 2670.964, 'duration': 5.386}, {'end': 2682.356, 'text': "Uh, and so I think it's great that you can now talk to your cell phone rather than type on a tiny little keyboard.", 'start': 2676.77, 'duration': 5.586}, {'end': 2684.438, 'text': 'if you want to do a, do a web search on mobile.', 'start': 2682.356, 'duration': 2.082}, {'end': 2690.443, 'text': 'Uh, if you go to, you know a website like Amazon or Netflix or, uh, uh, Uh,', 'start': 2684.458, 'duration': 5.985}, {'end': 2694.966, 'text': 'there are learning algorithms recommending more relevant movies or more relevant products to you.', 'start': 2690.443, 'duration': 4.523}, {'end': 2697.148, 'text': 'Uh, every time you use your credit card.', 'start': 2694.986, 'duration': 2.162}, {'end': 2698.849, 'text': "uh, there's a learning algorithm.", 'start': 2697.148, 'duration': 1.701}, {'end': 2702.211, 'text': "uh, trying to probably from almost all companies I'm aware of,", 'start': 2698.849, 'duration': 3.362}, {'end': 2706.194, 'text': "there's a learning algorithm trying to figure out if it's you using your credit card or if it's been stolen.", 'start': 2702.211, 'duration': 3.983}], 'summary': 'Learning algorithms improve web search results, ads relevance, and fraud detection, with over 10% of mobile searches through voice search.', 'duration': 48.858, 'max_score': 2657.336, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2657336.jpg'}, {'end': 2750.311, 'src': 'embed', 'start': 2723.984, 'weight': 3, 'content': [{'end': 2731.026, 'text': "So so there's a I I think all you know one of the amazing things about AI and machine learning is I love it when it disappears in the background,", 'start': 2723.984, 'duration': 7.042}, {'end': 2732.546, 'text': 'right?. You, you, you use your.', 'start': 2731.026, 'duration': 1.52}, {'end': 2734.006, 'text': 'you know, you use these algorithms.', 'start': 2732.546, 'duration': 1.46}, {'end': 2738.427, 'text': 'uh, uh, you boot up your math application and it finds the shortest route for you to drive from here to there.', 'start': 2734.006, 'duration': 4.421}, {'end': 2741.748, 'text': "And there's a learning algorithm predicting what traffic will be like.", 'start': 2739.067, 'duration': 2.681}, {'end': 2744.289, 'text': 'on Highway 101 one hour from now.', 'start': 2742.228, 'duration': 2.061}, {'end': 2750.311, 'text': "But you don't even need to think that it was a learning algorithm trying to figure out what traffic will be like one hour in the future.", 'start': 2744.689, 'duration': 5.622}], 'summary': 'Ai and machine learning make life easier by predicting traffic, finding shortest routes effortlessly.', 'duration': 26.327, 'max_score': 2723.984, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2723984.jpg'}, {'end': 2789.926, 'src': 'embed', 'start': 2761.474, 'weight': 4, 'content': [{'end': 2764.676, 'text': "Uh, so that's the present and I think in the future, near future.", 'start': 2761.474, 'duration': 3.202}, {'end': 2769.558, 'text': 'uh, most of my PhD students, my, my most of my research group here is work on machine learning for healthcare.', 'start': 2764.676, 'duration': 4.882}, {'end': 2772.399, 'text': 'I think that will have significant inroads.', 'start': 2769.658, 'duration': 2.741}, {'end': 2780.383, 'text': 'uh, uh, uh, you know, um and my my, my team at Landing AI is spending a lot of time with a lot of industries, from manufacturing to agriculture.', 'start': 2772.399, 'duration': 7.984}, {'end': 2781.683, 'text': 'So all the things.', 'start': 2780.963, 'duration': 0.72}, {'end': 2784.404, 'text': "uh, I'm excited about machine learning for education.", 'start': 2781.683, 'duration': 2.721}, {'end': 2789.926, 'text': 'uh, give people personalized tutor, help people with recommended, uh, personalized content.', 'start': 2784.404, 'duration': 5.522}], 'summary': 'Machine learning for healthcare, manufacturing, agriculture, and education will make significant inroads.', 'duration': 28.452, 'max_score': 2761.474, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2761474.jpg'}], 'start': 2627.995, 'title': "Ai's impact on daily life and various industries", 'summary': 'Highlights the widespread integration of machine learning in daily activities, with over 10% of mobile searches being voice-based. additionally, it discusses the pervasive use of learning algorithms in finance, email filtering, and traffic prediction, as well as potential applications in healthcare, education, and agriculture.', 'chapters': [{'end': 2690.443, 'start': 2627.995, 'title': "Ai's impact on daily life", 'summary': 'Highlights the widespread integration of machine learning in daily activities, citing examples like search engine algorithms and voice search, with google and baidu reporting over 10% of mobile searches being voice-based.', 'duration': 62.448, 'highlights': ['Google and Baidu have publicly stated that over 10% of searches on mobile are through voice search, showing the significant impact of voice-based interactions in daily activities.', 'Learning algorithms are utilized in web search engines and advertising platforms, demonstrating the pervasive use of machine learning in improving search results and displaying relevant ads.', 'The convenience of voice search is emphasized, with users being able to talk to their cell phones for web searches rather than typing on a small keyboard, showcasing the practical integration of AI in daily tasks.']}, {'end': 2918.438, 'start': 2690.443, 'title': 'The impact of ai and machine learning', 'summary': 'Discusses the pervasive use of learning algorithms in various industries, particularly in finance, email filtering, traffic prediction, and the potential applications in healthcare, education, and agriculture.', 'duration': 227.995, 'highlights': ['Learning algorithms are widely employed in finance, such as credit card usage and fraud detection, and email filtering, improving the usability and security of these systems.', 'The seamless integration of learning algorithms in everyday tools, like traffic prediction and route optimization, showcases the transformative potential of AI and machine learning in simplifying complex tasks for users.', 'The future applications of machine learning in healthcare, education, and agriculture hold significant promise, with ongoing research and development focusing on personalized healthcare, educational tutoring, and industry-specific optimizations.', 'The incorporation of in-class lectures alongside online Coursera content aims to provide a more comprehensive learning experience for students, emphasizing deeper practice, advanced examples, and mathematical derivations.']}], 'duration': 290.443, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2627995.jpg', 'highlights': ['Over 10% of mobile searches are voice-based, emphasizing the significant impact of voice-based interactions.', 'Learning algorithms are pervasive in web search engines and advertising platforms, improving search results and displaying relevant ads.', 'Learning algorithms are widely employed in finance and email filtering, enhancing usability and security.', 'Machine learning is seamlessly integrated into traffic prediction and route optimization, simplifying complex tasks for users.', 'Potential applications of machine learning in healthcare, education, and agriculture hold significant promise.']}, {'end': 3322.375, 'segs': [{'end': 2973.487, 'src': 'heatmap', 'start': 2919.138, 'weight': 0, 'content': [{'end': 2924.603, 'text': 'Uh, we wanted to take a little more time to explain a little bit about the course logistics,', 'start': 2919.138, 'duration': 5.465}, {'end': 2932.102, 'text': 'what this course is about and also what it is to be a CS230 student in Fall 2018..', 'start': 2924.603, 'duration': 7.499}, {'end': 2939.266, 'text': "So the course online is structured into five chapters or subcourses, let's say.", 'start': 2932.102, 'duration': 7.164}, {'end': 2944.208, 'text': 'Uh, what we will teach you first is, uh, what is a neuron? You need to know that.', 'start': 2939.926, 'duration': 4.282}, {'end': 2948.87, 'text': "After understanding what a neuron is, you're going to build layers with these neurons.", 'start': 2944.708, 'duration': 4.162}, {'end': 2954.113, 'text': "You're then going to stack these layers on top of each other to build a network that can be small or deep.", 'start': 2949.27, 'duration': 4.843}, {'end': 2956.074, 'text': 'Uh, this is the first course.', 'start': 2954.933, 'duration': 1.141}, {'end': 2965.441, 'text': "Unfortunately, it's not enough to deploy a network, uh, just- just building a neural network is not enough to get it to work.", 'start': 2956.734, 'duration': 8.707}, {'end': 2973.487, 'text': "So, in the second course, we're going to teach you the methods that are used to tune this network in order to improve their performances.", 'start': 2965.921, 'duration': 7.566}], 'summary': 'Cs230 fall 2018 covers 5 subcourses. course 1: neurons, layers, networks. course 2: network tuning for performance improvement.', 'duration': 25.07, 'max_score': 2919.138, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2919138.jpg'}, {'end': 2992.807, 'src': 'embed', 'start': 2965.921, 'weight': 1, 'content': [{'end': 2973.487, 'text': "So, in the second course, we're going to teach you the methods that are used to tune this network in order to improve their performances.", 'start': 2965.921, 'duration': 7.566}, {'end': 2975.248, 'text': 'This is the second part.', 'start': 2973.947, 'duration': 1.301}, {'end': 2982.784, 'text': 'Um, As Andrew mentioned, one thing we really uh putting a huge emphasis on,', 'start': 2976.109, 'duration': 6.675}, {'end': 2988.286, 'text': 'uh in CS230 is the industrial applications and how the industry works in AI.', 'start': 2982.784, 'duration': 5.502}, {'end': 2992.807, 'text': 'So the third course is going to help you understand how to strategize your project.', 'start': 2988.606, 'duration': 4.201}], 'summary': 'Cs230 emphasizes industrial applications in ai, teaching methods to tune networks for performance and strategize projects.', 'duration': 26.886, 'max_score': 2965.921, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2965921.jpg'}, {'end': 3079.601, 'src': 'embed', 'start': 3051.665, 'weight': 2, 'content': [{'end': 3059.467, 'text': "And I'd like everyone to go on the website CS230 syllabus after the class to look at all the syllabus throughout the quarter.", 'start': 3051.665, 'duration': 7.802}, {'end': 3062.648, 'text': 'check when the midterm is and when the final poster presentation is.', 'start': 3059.467, 'duration': 3.181}, {'end': 3065.723, 'text': 'Um, the schedule is posted there.', 'start': 3063.917, 'duration': 1.806}, {'end': 3067.708, 'text': 'Um, so check it out.', 'start': 3065.743, 'duration': 1.965}, {'end': 3070.416, 'text': "And, uh, we're going to use the Coursera platform as you know.", 'start': 3068.09, 'duration': 2.326}, {'end': 3073.036, 'text': 'So, on Coursera.', 'start': 3071.334, 'duration': 1.702}, {'end': 3079.601, 'text': 'uh, you will receive an invite on your Stanford email and you should have received it already for course one.', 'start': 3073.036, 'duration': 6.565}], 'summary': 'Check cs230 website for syllabus, midterm, and final poster presentation dates. use coursera platform for the course.', 'duration': 27.936, 'max_score': 3051.665, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3051665.jpg'}, {'end': 3145.106, 'src': 'embed', 'start': 3119.781, 'weight': 3, 'content': [{'end': 3127.006, 'text': 'So, what is one module? In a module, you will watch about, uh, 10 videos on Coursera, which will be about one hour and a half.', 'start': 3119.781, 'duration': 7.225}, {'end': 3131.449, 'text': 'Uh, you will do quizzes after watching the videos.', 'start': 3127.746, 'duration': 3.703}, {'end': 3133.99, 'text': 'This is going to take you about 20 minutes per module.', 'start': 3131.669, 'duration': 2.321}, {'end': 3139.274, 'text': 'And finally, you will complete programming assignments which are on Jupyter Notebooks.', 'start': 3134.571, 'duration': 4.703}, {'end': 3145.106, 'text': 'you will get cells to test your code and also submit your code directly on the Coursera platform.', 'start': 3140.438, 'duration': 4.668}], 'summary': 'One module consists of 10 videos, 20 mins per module, with quizzes and programming assignments.', 'duration': 25.325, 'max_score': 3119.781, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3119781.jpg'}, {'end': 3300.301, 'src': 'embed', 'start': 3273.005, 'weight': 4, 'content': [{'end': 3278.746, 'text': '25% on programming assignments and a big part on the midterm and on the final projects.', 'start': 3273.005, 'duration': 5.741}, {'end': 3283.108, 'text': 'Um, So this is posted on the website if you want to check it.', 'start': 3279.667, 'duration': 3.441}, {'end': 3292.315, 'text': 'Attendance is taken for in-class lectures, for 15 minutes TA meetings, and for the TA sections on Friday.', 'start': 3283.909, 'duration': 8.406}, {'end': 3294.216, 'text': 'You can have a bonus.', 'start': 3293.456, 'duration': 0.76}, {'end': 3300.301, 'text': "And we've had students very active on Piazza that answered questions to other students, which was great.", 'start': 3294.296, 'duration': 6.005}], 'summary': '25% weight on programming assignments, midterm, and final projects. attendance taken for in-class lectures and ta meetings. bonus available. active student participation on piazza.', 'duration': 27.296, 'max_score': 3273.005, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3273005.jpg'}], 'start': 2919.138, 'title': 'Cs230 course logistics and syllabus', 'summary': 'Provides details on the course logistics and curriculum of cs230 for fall 2018, emphasizing industrial applications and deep neural network improvement. it also covers the syllabus, schedule, and platforms used, including the coursera platform, piazza forum, and grading formula, with a focus on project work and mentorship.', 'chapters': [{'end': 3051.005, 'start': 2919.138, 'title': 'Cs230 course logistics and curriculum', 'summary': 'Explains the course logistics and curriculum of cs230 for fall 2018, detailing the five chapters or subcourses, the emphasis on industrial applications, and the focus on improving deep neural networks and understanding ai teams.', 'duration': 131.867, 'highlights': ['The course is structured into five chapters or subcourses, covering topics such as neurons, building layers, tuning networks, understanding AI teams, and focusing on convolutional neural networks and sequence models.', 'The emphasis on industrial applications and understanding how the industry works in AI is a key focus of CS230.', "The course covers specific areas such as improving deep neural networks and understanding AI teams' strategies and functioning."]}, {'end': 3322.375, 'start': 3051.665, 'title': 'Cs230 syllabus and schedule', 'summary': 'Discusses the cs230 syllabus and schedule, including details about the coursera platform, piazza forum, weekly activities, and grading formula, with an emphasis on project work and mentorship.', 'duration': 270.71, 'highlights': ['The schedule for CS230, including the midterm and final poster presentation, is available on the website.', 'The Coursera platform will be used for watching videos, doing quizzes, and completing programming assignments.', 'The weekly activities for a CS230 student include watching videos, doing quizzes, and completing programming assignments.', 'The grading formula consists of percentages for attendance, quizzes, programming assignments, midterm, and final projects, with bonuses for active participation on Piazza.', 'The chapter emphasizes personalized mentorship and project work, including weekly TA meetings and emphasis on team formation.']}], 'duration': 403.237, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg2919138.jpg', 'highlights': ['The course is structured into five chapters or subcourses, covering specific topics.', 'The emphasis on industrial applications and understanding AI industry is a key focus.', 'The schedule for CS230, including the midterm and final poster presentation, is available.', 'The Coursera platform will be used for watching videos, doing quizzes, and completing programming assignments.', 'The grading formula consists of percentages for attendance, quizzes, programming assignments, midterm, and final projects.']}, {'end': 4063.869, 'segs': [{'end': 3354.428, 'src': 'embed', 'start': 3322.375, 'weight': 4, 'content': [{'end': 3328.837, 'text': "you're going to be able to translate these pictures here in the numbers that they corresponds to in in sign languages.", 'start': 3322.375, 'duration': 6.462}, {'end': 3335.679, 'text': "So, it's sign language trans- translation from images to, uh, the output, uh, signification.", 'start': 3329.457, 'duration': 6.222}, {'end': 3339.462, 'text': "um, you're going to build a convolutional neural network.", 'start': 3336.639, 'duration': 2.823}, {'end': 3344.188, 'text': 'uh, and the first logistic regression and then a convolutional neural network in order to solve this problem.', 'start': 3339.462, 'duration': 4.726}, {'end': 3354.428, 'text': "a little later, uh, you're going to be, uh, a deep learning engineer in a house that is not too far from here called the happy house.", 'start': 3346.701, 'duration': 7.727}], 'summary': 'Translating images to sign language using neural network with logistic regression and convolutional layers.', 'duration': 32.053, 'max_score': 3322.375, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3322375.jpg'}, {'end': 3398.478, 'src': 'embed', 'start': 3368.621, 'weight': 5, 'content': [{'end': 3369.762, 'text': 'just let happy people in.', 'start': 3368.621, 'duration': 1.141}, {'end': 3378.684, 'text': "And you're going to build a network, uh, that will run on a camera that is in front of the house, and that is going to let people in or not.", 'start': 3370.999, 'duration': 7.685}, {'end': 3383.767, 'text': "And unfortunately, some people will not get in, and other people will- will get in because they're- they're happy.", 'start': 3378.704, 'duration': 5.063}, {'end': 3387.85, 'text': 'And you will save the happy house at the end of the assignment, hopefully.', 'start': 3384.788, 'duration': 3.062}, {'end': 3396.278, 'text': 'Um, this is, uh, one of the, the, the applications of, of deep learning that I, that I personally prefer.', 'start': 3389.196, 'duration': 7.082}, {'end': 3398.478, 'text': "It's called, uh, object detection.", 'start': 3396.858, 'duration': 1.62}], 'summary': 'Using object detection, a network will let happy people in front of the house, saving the happy house at the end of the assignment.', 'duration': 29.857, 'max_score': 3368.621, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3368621.jpg'}, {'end': 3438.915, 'src': 'embed', 'start': 3409.72, 'weight': 0, 'content': [{'end': 3417.202, 'text': 'And YOLOv2 is an object detection algorithm that runs real-time and is able to detect 9, 000 objects as fast as that.', 'start': 3409.72, 'duration': 7.482}, {'end': 3420.129, 'text': "So it's, it's really, really impressive.", 'start': 3418.188, 'duration': 1.941}, {'end': 3425.09, 'text': 'You have a few links here if you want to check the paper already, but maybe you will need some weeks to understand it.', 'start': 3420.149, 'duration': 4.941}, {'end': 3438.915, 'text': 'Okay Actually, we have a- We can even run it directly on my computer, I think, which is going to be fun.', 'start': 3427.171, 'duration': 11.744}], 'summary': 'Yolov2 is an impressive real-time object detection algorithm that can detect 9,000 objects as fast as that.', 'duration': 29.195, 'max_score': 3409.72, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3409720.jpg'}, {'end': 3502.704, 'src': 'embed', 'start': 3478.753, 'weight': 3, 'content': [{'end': 3485.257, 'text': "So in soccer, you're a goalkeeper and you want to decide where you should shoot the ball in order to make it land on one of your teammates.", 'start': 3478.753, 'duration': 6.504}, {'end': 3490.62, 'text': "You're going to find, uh, what's the exact line on the field which tells the goalkeeper where to shoot.", 'start': 3485.717, 'duration': 4.903}, {'end': 3491.681, 'text': 'Two weeks from now.', 'start': 3491.12, 'duration': 0.561}, {'end': 3498.421, 'text': "About, um, in the, in the fourth course, uh, convolutional neural network, you're going to work on car detection.", 'start': 3492.757, 'duration': 5.664}, {'end': 3500.102, 'text': 'So this is a, a bigger image.', 'start': 3498.541, 'duration': 1.561}, {'end': 3502.704, 'text': 'Uh, this is exactly the programming assignment.', 'start': 3500.122, 'duration': 2.582}], 'summary': 'Soccer strategies and upcoming topics in neural network course.', 'duration': 23.951, 'max_score': 3478.753, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3478753.jpg'}, {'end': 3815.371, 'src': 'embed', 'start': 3782.048, 'weight': 2, 'content': [{'end': 3782.508, 'text': 'and many more.', 'start': 3782.048, 'duration': 0.46}, {'end': 3791.497, 'text': "So, last quarter specifically, we've had a lot of projects uh in physics and uh and astrophysics and chemical engineering and mechanics,", 'start': 3782.829, 'duration': 8.668}, {'end': 3792.017, 'text': 'which was great.', 'start': 3791.497, 'duration': 0.52}, {'end': 3798.784, 'text': 'Uh, some examples are detecting earthquake precursor signals with a sequence model,', 'start': 3792.558, 'duration': 6.226}, {'end': 3803.584, 'text': 'um predicting the atom energy based on the atomic structure of an atom.', 'start': 3798.784, 'duration': 4.8}, {'end': 3804.925, 'text': 'So you have.', 'start': 3804.144, 'duration': 0.781}, {'end': 3809.827, 'text': 'you have, for instance, uh softwares that run, that are really computationally expensive,', 'start': 3804.925, 'duration': 4.902}, {'end': 3815.371, 'text': 'that look at the atomic structure of an atom and will output the energy of this atom.', 'start': 3809.827, 'duration': 5.544}], 'summary': 'Last quarter, we worked on various projects in physics, astrophysics, and chemical engineering, such as detecting earthquake precursor signals and predicting atom energy based on atomic structure.', 'duration': 33.323, 'max_score': 3782.048, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3782048.jpg'}, {'end': 3918.154, 'src': 'embed', 'start': 3890.934, 'weight': 1, 'content': [{'end': 3899.358, 'text': 'Uh, and you have access to personalized mentorship thanks to the amazing TA team and the instructors.', 'start': 3890.934, 'duration': 8.424}, {'end': 3906.742, 'text': "Um, and finally, we'll have, uh, to build a 10-week long, uh, project.", 'start': 3900.499, 'duration': 6.243}, {'end': 3910.309, 'text': 'So, now we- we get to the serious thing.', 'start': 3908.208, 'duration': 2.101}, {'end': 3912.831, 'text': 'What is, uh, what we are up to this week?', 'start': 3910.509, 'duration': 2.322}, {'end': 3918.154, 'text': "So, at the end of every lecture, you'll have one slide that's gonna remind you what you have to do for next week.", 'start': 3913.291, 'duration': 4.863}], 'summary': 'Access to personalized mentorship, 10-week project, weekly reminders for tasks.', 'duration': 27.22, 'max_score': 3890.934, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3890934.jpg'}], 'start': 3322.375, 'title': 'Deep learning applications & projects', 'summary': 'Covers deep learning applications including real-time object detection, car detection, face recognition, and more, with successful student projects across industries, emphasizing the importance of 10-week projects with personalized mentorship.', 'chapters': [{'end': 3387.85, 'start': 3322.375, 'title': 'Sign language translation and happy house network', 'summary': 'Discusses building a convolutional neural network and logistic regression to translate images into sign language, followed by creating a network to only allow happy people into a house using a camera.', 'duration': 65.475, 'highlights': ["You're going to build a convolutional neural network and logistic regression to translate images into sign language, solving this problem (quantifiable data: building a network).", 'You will build a network to only allow happy people into a house using a camera, aiming to save the happy house at the end of the assignment (quantifiable data: building a network to filter people based on their emotions).']}, {'end': 4063.869, 'start': 3389.196, 'title': 'Deep learning applications & projects', 'summary': 'Introduces various deep learning applications such as real-time object detection with yolov2, optimal goalkeeper shoot prediction, car detection for autonomous driving, face recognition, art generation, music generation, machine translation, trigger word detection, and more, with examples of successful student projects spanning across various industries, and emphasizes the importance of building a 10-week long project with access to personalized mentorship.', 'duration': 674.673, 'highlights': ['Real-time object detection with YOLOv2 can detect 9,000 objects as fast as possible, demonstrating impressive capabilities in deep learning applications.', 'Upcoming projects include optimal goalkeeper shoot prediction, car detection for autonomous driving, and face recognition, providing a diverse range of practical applications for students to work on.', 'Students have successfully completed projects in physics, astrophysics, chemical engineering, healthcare, and more, showcasing the broad impact of deep learning projects across various industries.', 'Emphasizes the importance of building a 10-week long project, access to personalized mentorship, and the potential for projects to be recognized and featured globally.']}], 'duration': 741.494, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/PySo_6S4ZAg/pics/PySo_6S4ZAg3322375.jpg', 'highlights': ['Real-time object detection with YOLOv2 can detect 9,000 objects as fast as possible, demonstrating impressive capabilities in deep learning applications.', 'Emphasizes the importance of building a 10-week long project, access to personalized mentorship, and the potential for projects to be recognized and featured globally.', 'Students have successfully completed projects in physics, astrophysics, chemical engineering, healthcare, and more, showcasing the broad impact of deep learning projects across various industries.', 'Upcoming projects include optimal goalkeeper shoot prediction, car detection for autonomous driving, and face recognition, providing a diverse range of practical applications for students to work on.', "You're going to build a convolutional neural network and logistic regression to translate images into sign language, solving this problem (quantifiable data: building a network).", 'You will build a network to only allow happy people into a house using a camera, aiming to save the happy house at the end of the assignment (quantifiable data: building a network to filter people based on their emotions).']}], 'highlights': ['Real-time object detection with YOLOv2 can detect 9,000 objects as fast as possible, demonstrating impressive capabilities in deep learning applications.', 'The size of neural networks and the amount of data thrown at a problem are crucial for achieving useful results, and the advancements in GPU computing have facilitated the transition from training small to very large neural networks.', 'The performance of traditional learning algorithms plateaus even with an increase in data, while larger neural networks display continuous improvement, potentially reaching the theoretical limit called Bayes error rate.', "An individual outperformed a 30-member team's three months of work in just three days, showcasing the impact of practical know-how in machine learning.", 'The rise of electricity transformed every industry, and machine learning and deep learning has the potential to transform pretty much every industry.']}