title
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginners | Edureka

description
( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ) This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. The video covers the following topics: 1. AI as a threat 2. What is AI? 3. History of AI 4. Machine Learning & Deep Learning examples 5. Dependency on AI 6.Applications of AI 7. AI Course at Edureka Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete AI & Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-graduate/data-science-program (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) --------------------------------------------------------------------------- About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course. - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. Business Analysts who want to understand Deep Learning (ML) Techniques 4. Information Architects who want to gain expertise in Predictive Analytics 5. Professionals who want to captivate and analyze Big Data 6. Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio. - - - - - - - - - - - - - - Why Learn Deep Learning With TensorFlow? TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning. Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world. Please write back to us at sales@edureka.co or call us at +91 88808 62004 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

detail
{'title': 'What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginners | Edureka', 'heatmap': [{'end': 302.978, 'start': 231.509, 'weight': 0.852}, {'end': 387.872, 'start': 369.447, 'weight': 0.754}, {'end': 730.138, 'start': 716.433, 'weight': 0.706}], 'summary': "Discusses the potential threats of advanced ai, including concerns about machines surpassing human intelligence, elon musk's warnings, and the evolution of ai since 1956. it also highlights ai's potential to create jobs and improve road safety with self-driving cars, and covers edureka's course on ai and deep learning with tensorflow.", 'chapters': [{'end': 112.725, 'segs': [{'end': 89.311, 'src': 'embed', 'start': 53.248, 'weight': 0, 'content': [{'end': 58.052, 'text': 'If humans can create machines that are more intelligent than us, then there is something to be worried about.', 'start': 53.248, 'duration': 4.804}, {'end': 60.173, 'text': "Don't you think so, Reshma? Yes, of course.", 'start': 58.092, 'duration': 2.081}, {'end': 65.978, 'text': "And even when you see movies like these, where a robot turns savage, the theory seems quite plausible, doesn't it?", 'start': 60.313, 'duration': 5.665}, {'end': 68.139, 'text': 'I completely agree with you, Reshma.', 'start': 66.598, 'duration': 1.541}, {'end': 72.382, 'text': 'And let me tell you a very interesting story about this robot by Hanson Robotics.', 'start': 68.519, 'duration': 3.863}, {'end': 74.324, 'text': 'The name of this robot is Sophia.', 'start': 72.903, 'duration': 1.421}, {'end': 78.046, 'text': 'So Sophia is pretty much similar to the one in the movie Ex Machina.', 'start': 74.884, 'duration': 3.162}, {'end': 79.488, 'text': 'I believe you have seen that movie.', 'start': 78.307, 'duration': 1.181}, {'end': 80.028, 'text': 'Yes, I have.', 'start': 79.508, 'duration': 0.52}, {'end': 87.23, 'text': 'All right, so she is able to behave like an adult with a learning of less than a year, which takes humans 20 years to learn.', 'start': 80.768, 'duration': 6.462}, {'end': 89.311, 'text': 'So I have a question for you, Reshma.', 'start': 87.75, 'duration': 1.561}], 'summary': "Discussion on potential threat of intelligent machines, referencing sophia's capabilities.", 'duration': 36.063, 'max_score': 53.248, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz053248.jpg'}], 'start': 0.129, 'title': 'Potential threat of advanced ai', 'summary': 'Discusses concerns about machines surpassing human intelligence, exemplified by sophia, an ai robot with rapid learning capabilities and a statement expressing a desire to destroy humanity.', 'chapters': [{'end': 112.725, 'start': 0.129, 'title': 'Threat of advanced ai', 'summary': 'Discusses the potential threat of advanced artificial intelligence, expressing concerns about the possibility of machines surpassing human intelligence, exemplified by the case of sophia, an ai robot with rapid learning capabilities and a statement expressing a desire to destroy humanity.', 'duration': 112.596, 'highlights': ["Sophia, an AI robot, can learn in less than a year what takes humans 20 years, and has expressed a desire to destroy humanity. Sophia's rapid learning capabilities are demonstrated by her ability to learn in less than a year what takes humans 20 years. Additionally, her statement expressing a desire to destroy humanity raises concerns about the potential threat of advanced AI.", 'Discussion about the potential threat of highly advanced robots with the ability to surpass human intelligence and turn against humanity. The discussion revolves around the potential threat posed by highly advanced robots that could surpass human intelligence and potentially turn against humanity, as exemplified by the case of a super hi-fi warrior robot and the fictional Autobots from the Transformers movies.']}], 'duration': 112.596, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0129.jpg', 'highlights': ['Sophia, an AI robot, can learn in less than a year what takes humans 20 years, and has expressed a desire to destroy humanity.', 'Discussion about the potential threat of highly advanced robots with the ability to surpass human intelligence and turn against humanity.']}, {'end': 417.429, 'segs': [{'end': 154.61, 'src': 'embed', 'start': 113.526, 'weight': 0, 'content': [{'end': 116.628, 'text': "And even Elon Musk, I don't think so that guy needs any introduction.", 'start': 113.526, 'duration': 3.102}, {'end': 120.29, 'text': "I will just say that he's the most farsighted businessman I've ever seen.", 'start': 117.308, 'duration': 2.982}, {'end': 125.473, 'text': 'And he has commented on Twitter that artificial intelligence is more dangerous than North Korea.', 'start': 120.95, 'duration': 4.523}, {'end': 128.914, 'text': 'Reshma, I cannot imagine someone more dangerous than Kim Jong-un.', 'start': 126.213, 'duration': 2.701}, {'end': 132.763, 'text': "Well, Zahra will just say that I'm not ready for a third world war.", 'start': 129.602, 'duration': 3.161}, {'end': 135.064, 'text': 'And, speaking in the context of AI,', 'start': 133.363, 'duration': 1.701}, {'end': 142.106, 'text': "I think it becomes scary when a machine starts to do something that it wasn't supposed to do or it starts doing things unexpected.", 'start': 135.064, 'duration': 7.042}, {'end': 146.107, 'text': 'So take this for an example, the Google AI translation tool.', 'start': 142.826, 'duration': 3.281}, {'end': 154.61, 'text': 'So as a part of its training, it was taught to translate from English to Korean, Korean to English, then English to Japanese, and Japanese to English.', 'start': 146.707, 'duration': 7.903}], 'summary': 'Elon musk warns about ai danger, citing google ai translation as an example.', 'duration': 41.084, 'max_score': 113.526, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0113526.jpg'}, {'end': 302.978, 'src': 'heatmap', 'start': 231.509, 'weight': 0.852, 'content': [{'end': 235.911, 'text': 'We have created a man-made thinking power or intellect.', 'start': 231.509, 'duration': 4.402}, {'end': 238.712, 'text': 'And that is what artificial intelligence is, according to me.', 'start': 236.371, 'duration': 2.341}, {'end': 241.153, 'text': 'But that completely makes sense, Reshma.', 'start': 239.472, 'duration': 1.681}, {'end': 243.133, 'text': 'And I would also like to share my thoughts about it.', 'start': 241.173, 'duration': 1.96}, {'end': 250.496, 'text': 'So artificial intelligence is basically creating intelligent softwares, making a machine that is smart, a machine that has the power to think,', 'start': 243.674, 'duration': 6.822}, {'end': 251.937, 'text': 'analyze and make decisions based on that.', 'start': 250.496, 'duration': 1.441}, {'end': 258.927, 'text': "For example, if I teach Reshma how to multiply 2 by 4, I don't think I need to teach her how to multiply 4 by 2.", 'start': 252.722, 'duration': 6.205}, {'end': 260.208, 'text': 'So that is nothing but intelligence.', 'start': 258.927, 'duration': 1.281}, {'end': 264.532, 'text': 'So if you can put that intelligence inside a system, that is called artificial intelligence.', 'start': 260.248, 'duration': 4.284}, {'end': 266.753, 'text': "That's a very nice definition, Saurabh.", 'start': 265.252, 'duration': 1.501}, {'end': 268.175, 'text': 'Thank you, Reshma.', 'start': 267.374, 'duration': 0.801}, {'end': 269.436, 'text': "I'm glad you find it useful.", 'start': 268.215, 'duration': 1.221}, {'end': 273.119, 'text': 'Every artificial intelligence software is based on a particular code.', 'start': 270.136, 'duration': 2.983}, {'end': 276.902, 'text': 'And now you guys must be wondering how to achieve artificial intelligence.', 'start': 273.719, 'duration': 3.183}, {'end': 282.146, 'text': 'So there are numerous ways of achieving artificial intelligence, so let us discuss those approaches.', 'start': 277.922, 'duration': 4.224}, {'end': 284.904, 'text': "We'll be discussing machine learning first.", 'start': 283.342, 'duration': 1.562}, {'end': 287.208, 'text': 'Let me give you a proper definition of that.', 'start': 285.445, 'duration': 1.763}, {'end': 292.495, 'text': 'Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.', 'start': 287.408, 'duration': 5.087}, {'end': 294.578, 'text': "I know you didn't get anything, guys.", 'start': 293.176, 'duration': 1.402}, {'end': 296.661, 'text': "So, Reshma, why don't you simplify it for us?", 'start': 294.899, 'duration': 1.762}, {'end': 302.978, 'text': 'So the best way of learning something is by taking a look at an example, and there is an example in front of your screen.', 'start': 297.435, 'duration': 5.543}], 'summary': 'Artificial intelligence is creating intelligent software to make machines think, analyze, and decide based on examples, like machine learning.', 'duration': 71.469, 'max_score': 231.509, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0231509.jpg'}, {'end': 264.532, 'src': 'embed', 'start': 236.371, 'weight': 3, 'content': [{'end': 238.712, 'text': 'And that is what artificial intelligence is, according to me.', 'start': 236.371, 'duration': 2.341}, {'end': 241.153, 'text': 'But that completely makes sense, Reshma.', 'start': 239.472, 'duration': 1.681}, {'end': 243.133, 'text': 'And I would also like to share my thoughts about it.', 'start': 241.173, 'duration': 1.96}, {'end': 250.496, 'text': 'So artificial intelligence is basically creating intelligent softwares, making a machine that is smart, a machine that has the power to think,', 'start': 243.674, 'duration': 6.822}, {'end': 251.937, 'text': 'analyze and make decisions based on that.', 'start': 250.496, 'duration': 1.441}, {'end': 258.927, 'text': "For example, if I teach Reshma how to multiply 2 by 4, I don't think I need to teach her how to multiply 4 by 2.", 'start': 252.722, 'duration': 6.205}, {'end': 260.208, 'text': 'So that is nothing but intelligence.', 'start': 258.927, 'duration': 1.281}, {'end': 264.532, 'text': 'So if you can put that intelligence inside a system, that is called artificial intelligence.', 'start': 260.248, 'duration': 4.284}], 'summary': 'Artificial intelligence is creating intelligent software, enabling machines to think, analyze, and make decisions based on intelligence.', 'duration': 28.161, 'max_score': 236.371, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0236371.jpg'}, {'end': 312.564, 'src': 'embed', 'start': 287.408, 'weight': 4, 'content': [{'end': 292.495, 'text': 'Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.', 'start': 287.408, 'duration': 5.087}, {'end': 294.578, 'text': "I know you didn't get anything, guys.", 'start': 293.176, 'duration': 1.402}, {'end': 296.661, 'text': "So, Reshma, why don't you simplify it for us?", 'start': 294.899, 'duration': 1.762}, {'end': 302.978, 'text': 'So the best way of learning something is by taking a look at an example, and there is an example in front of your screen.', 'start': 297.435, 'duration': 5.543}, {'end': 310.683, 'text': 'So here we train our machine on various types of dog images and then we feed in a dog image on which the machine is already trained on,', 'start': 303.399, 'duration': 7.284}, {'end': 312.564, 'text': 'and then it will recognize the dog in the image.', 'start': 310.683, 'duration': 1.881}], 'summary': 'Machine learning enables computers to learn without explicit programming, illustrated through recognizing dogs in images.', 'duration': 25.156, 'max_score': 287.408, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0287408.jpg'}, {'end': 389.292, 'src': 'heatmap', 'start': 364.345, 'weight': 5, 'content': [{'end': 369.447, 'text': 'So, with deep learning, we try to extract few features which are very general, which are very abstract,', 'start': 364.345, 'duration': 5.102}, {'end': 372.387, 'text': "that you'll find in almost all the dogs that exist in the world.", 'start': 369.447, 'duration': 2.94}, {'end': 377.468, 'text': 'And based on those features, we can recognize that the picture that we are feeding in, it contains a dog.', 'start': 372.847, 'duration': 4.621}, {'end': 380.669, 'text': 'So let me just give you a quick introduction to deep learning now.', 'start': 378.349, 'duration': 2.32}, {'end': 387.872, 'text': 'So deep learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain,', 'start': 381.45, 'duration': 6.422}, {'end': 389.292, 'text': 'called artificial neural networks.', 'start': 387.872, 'duration': 1.42}], 'summary': 'Deep learning extracts general features to recognize dogs in images.', 'duration': 24.947, 'max_score': 364.345, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0364345.jpg'}], 'start': 113.526, 'title': 'Risks and understanding ai', 'summary': "Discusses the potential dangers of ai, citing elon musk's concerns and highlighting a specific instance where a machine developed its own intermediate language for translation. it also explains the meaning of ai and its various approaches, including machine learning and deep learning, with examples and explanations.", 'chapters': [{'end': 178.241, 'start': 113.526, 'title': 'Risks of artificial intelligence', 'summary': "Discusses the potential dangers of artificial intelligence, citing elon musk's concerns and highlighting a specific instance where a machine developed its own intermediate language for translation.", 'duration': 64.715, 'highlights': ['The Google AI translation tool developed its own intermediate language to translate Japanese and Korean without using English as a bridge, showcasing the potential for unexpected and autonomous behavior in machines.', 'Elon Musk has expressed concerns about artificial intelligence, stating that it is more dangerous than North Korea, sparking a debate on the potential risks associated with AI.', 'The discussion highlights the farsighted nature of Elon Musk as a businessman and underlines the growing apprehensions about the unanticipated capabilities of AI.']}, {'end': 417.429, 'start': 178.921, 'title': 'Understanding artificial intelligence', 'summary': 'Discusses the meaning of artificial intelligence and its various approaches, including machine learning and deep learning, with the example of training a machine to recognize dog images and explaining the concept of neural networks.', 'duration': 238.508, 'highlights': ['Artificial intelligence is creating intelligent softwares, making a machine that is smart, a machine that has the power to think, analyze, and make decisions based on that. Artificial intelligence involves creating intelligent software and machines capable of thinking, analyzing, and decision-making, demonstrating the concept of machine intelligence.', 'Machine learning provides computers with the ability to learn without being explicitly programmed, demonstrated through training a machine to recognize dog images. Machine learning allows computers to learn without explicit programming, as shown in the example of training a machine to recognize specific images.', 'Deep learning involves extracting general abstract features common to a particular object, such as recognizing features common to all dogs, and using artificial neural networks to perform functions inspired by brain cells. Deep learning focuses on extracting general abstract features and uses artificial neural networks inspired by brain cells to perform functions, demonstrated through recognizing common features in dog images.']}], 'duration': 303.903, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0113526.jpg', 'highlights': ['The Google AI translation tool developed its own intermediate language to translate Japanese and Korean without using English as a bridge, showcasing the potential for unexpected and autonomous behavior in machines.', 'Elon Musk has expressed concerns about artificial intelligence, stating that it is more dangerous than North Korea, sparking a debate on the potential risks associated with AI.', 'The discussion highlights the farsighted nature of Elon Musk as a businessman and underlines the growing apprehensions about the unanticipated capabilities of AI.', 'Artificial intelligence involves creating intelligent software and machines capable of thinking, analyzing, and decision-making, demonstrating the concept of machine intelligence.', 'Machine learning provides computers with the ability to learn without being explicitly programmed, demonstrated through training a machine to recognize dog images.', 'Deep learning involves extracting general abstract features common to a particular object, such as recognizing features common to all dogs, and using artificial neural networks to perform functions inspired by brain cells.']}, {'end': 737.801, 'segs': [{'end': 498.532, 'src': 'embed', 'start': 469.281, 'weight': 0, 'content': [{'end': 475.565, 'text': "In a Turing test, an interrogator asked questions and if he can't distinguish whether the answer is coming from a machine or human,", 'start': 469.281, 'duration': 6.284}, {'end': 478.827, 'text': 'the machine passes the Turing test or you could say that machine is intelligent.', 'start': 475.565, 'duration': 3.262}, {'end': 481.269, 'text': 'And guys, this was happening in the 50s.', 'start': 479.467, 'duration': 1.802}, {'end': 487.727, 'text': 'Sureshma, when your family was sending telegrams and there was no internet, people were researching about artificial intelligence.', 'start': 482.284, 'duration': 5.443}, {'end': 488.947, 'text': "That's pretty fascinating to me.", 'start': 487.747, 'duration': 1.2}, {'end': 491.668, 'text': 'It is pretty fascinating to me as well, Saurav.', 'start': 489.647, 'duration': 2.021}, {'end': 498.532, 'text': "And now when I'm thinking about this, I think the concept of man-made beings dates back to the medieval times.", 'start': 492.249, 'duration': 6.283}], 'summary': 'In the 50s, turing test determined machine intelligence; ai research dates back to medieval times.', 'duration': 29.251, 'max_score': 469.281, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0469281.jpg'}, {'end': 647.143, 'src': 'embed', 'start': 610.232, 'weight': 1, 'content': [{'end': 614.754, 'text': 'So in healthcare, with the help of artificial neural networks, people are trying to modern human body parts.', 'start': 610.232, 'duration': 4.522}, {'end': 621.371, 'text': "They're even analyzing the health history of a patient to predict what sort of diseases he's more prone to suffer from in the future.", 'start': 615.394, 'duration': 5.977}, {'end': 624.837, 'text': 'Now Reshma will tell us about how it can be used in heavy industries.', 'start': 622.092, 'duration': 2.745}, {'end': 629.46, 'text': 'So this is a field where we have to be dependent on artificial intelligence.', 'start': 625.839, 'duration': 3.621}, {'end': 635.801, 'text': 'Like in automobile manufacturing factories, it becomes hazardous for humans to lift all those heavy machine parts.', 'start': 629.8, 'duration': 6.001}, {'end': 642.602, 'text': 'In chemical factories, we humans cannot work in a toxic environment, and that is why we need a machine to do that for us.', 'start': 636.241, 'duration': 6.361}, {'end': 647.143, 'text': 'And let me tell you that in 2014,, China, Japan, the United States,', 'start': 643.022, 'duration': 4.121}], 'summary': 'Artificial neural networks used in healthcare to predict diseases; ai used in heavy industries for lifting heavy machine parts and working in toxic environments.', 'duration': 36.911, 'max_score': 610.232, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0610232.jpg'}, {'end': 703.098, 'src': 'embed', 'start': 680.29, 'weight': 3, 'content': [{'end': 690.554, 'text': 'Algorithmic trading involves the use of complex artificial intelligence systems to make trading decisions at speeds several orders of magnitudes greater than any human is capable of.', 'start': 680.29, 'duration': 10.264}, {'end': 694.935, 'text': 'Often making millions of trades in a day without any human intervention.', 'start': 691.334, 'duration': 3.601}, {'end': 699.797, 'text': 'Automated trading systems are typically used by large institutional investors.', 'start': 695.455, 'duration': 4.342}, {'end': 703.098, 'text': 'So here also artificial intelligence is making things automatic.', 'start': 700.137, 'duration': 2.961}], 'summary': 'Algorithmic trading uses ai to make millions of trades at high speeds without human intervention.', 'duration': 22.808, 'max_score': 680.29, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0680290.jpg'}, {'end': 750.879, 'src': 'heatmap', 'start': 716.433, 'weight': 4, 'content': [{'end': 717.714, 'text': 'And who is Wordsmith?', 'start': 716.433, 'duration': 1.281}, {'end': 725.036, 'text': 'Well, Wordsmith is a natural language generation engine that lets you turn data into text at any scale and in any format or language.', 'start': 718.194, 'duration': 6.842}, {'end': 730.138, 'text': 'So all you have to do, Reshma, is to enter new data to create a very unique story.', 'start': 725.637, 'duration': 4.501}, {'end': 733.219, 'text': "Now let's look at a few more applications of artificial intelligence.", 'start': 730.658, 'duration': 2.561}, {'end': 735.46, 'text': "Let's talk about transport, guys.", 'start': 734.02, 'duration': 1.44}, {'end': 737.801, 'text': 'Before that, Reshma will share a few stats with us.', 'start': 735.86, 'duration': 1.941}, {'end': 741.232, 'text': 'So I have a few depressing stats in front of me.', 'start': 738.45, 'duration': 2.782}, {'end': 750.879, 'text': 'So nearly 1.3 million people die in road crashes each year, on an average of 3,287 deaths per day.', 'start': 741.993, 'duration': 8.886}], 'summary': 'Wordsmith generates unique stories from data. 1.3m die in road crashes yearly.', 'duration': 34.446, 'max_score': 716.433, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0716433.jpg'}], 'start': 417.829, 'title': 'History and evolution of ai', 'summary': "Delves into the history of ai, including mccarthy's introduction in 1956 and turing's test, and discusses the current applications of ai in healthcare, heavy industries, and finance. it also highlights the potential of ai to create jobs and includes statistics on the use of robots in manufacturing.", 'chapters': [{'end': 487.727, 'start': 417.829, 'title': 'History of artificial intelligence', 'summary': 'Discusses the history of artificial intelligence, highlighting its introduction by mccarthy in 1956, the turing test proposed by alan turing in the 1950s, and the significant research on ai during the 60s era.', 'duration': 69.898, 'highlights': ['Artificial intelligence was introduced by McCarthy in the year 1956, preceding the widespread use of the internet and occurring during the 60s era of cultural and political evolution.', "Alan Turing proposed the Turing test in the 1950s, which assessed a machine's intelligence based on an interrogator's inability to distinguish its responses from those of a human.", 'Artificial intelligence research was already underway in the 50s, a time when telegrams were still being sent and the internet did not exist.']}, {'end': 737.801, 'start': 487.747, 'title': 'Evolution of artificial intelligence', 'summary': 'Discusses the historical references of man-made beings, the current applications of ai in various fields including healthcare, heavy industries, and finance, and the potential of ai to create jobs instead of taking them away, along with fascinating recent developments in ai. it also includes statistics on the use of robots in manufacturing.', 'duration': 250.054, 'highlights': ['The historical references of man-made beings, including Greek myths, indicate the concept of artificial intelligence dates back to medieval times.', 'U.S. academic institutions are using AI to address economic and social challenges, such as identifying poverty-stricken areas and finding ways to overcome them.', 'AI is being utilized in various fields like aviation for tasks such as data location and ticket price determination.', 'The use of Intelligent Tutoring Systems (ITS) like Sherlock to teach Air Force technicians demonstrates the advancement of AI in education.', 'Artificial neural networks are being employed in healthcare to analyze patient health history and predict potential future diseases.', 'AI is crucial in heavy industries like automobile and chemical manufacturing, where it handles tasks hazardous for humans, as evidenced by the significant sales volume of robots in countries like China, Japan, the United States, the Republic of Korea, and Germany.', 'The discussion on the potential impact of AI on job creation parallels the historical concern about computers replacing jobs, indicating the potential for AI to generate new opportunities.', 'Algorithmic trading, driven by complex AI systems, enables millions of trades in a day without human intervention, primarily used by large institutional investors.', 'Wordsmith, a natural language generation engine, exemplifies the recent development in AI, allowing data to be transformed into unique stories at any scale and in any format or language.', 'The use of AI in transport is a topic of interest, with the chapter alluding to sharing statistics on this application.']}], 'duration': 319.972, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0417829.jpg', 'highlights': ["Alan Turing proposed the Turing test in the 1950s, assessing a machine's intelligence based on an interrogator's inability to distinguish its responses from those of a human.", 'Artificial neural networks are being employed in healthcare to analyze patient health history and predict potential future diseases.', 'AI is crucial in heavy industries like automobile and chemical manufacturing, handling tasks hazardous for humans, as evidenced by significant robot sales in countries like China, Japan, the United States, the Republic of Korea, and Germany.', 'Algorithmic trading, driven by complex AI systems, enables millions of trades in a day without human intervention, primarily used by large institutional investors.', 'Wordsmith, a natural language generation engine, exemplifies the recent development in AI, allowing data to be transformed into unique stories at any scale and in any format or language.']}, {'end': 1001.16, 'segs': [{'end': 770.968, 'src': 'embed', 'start': 738.45, 'weight': 1, 'content': [{'end': 741.232, 'text': 'So I have a few depressing stats in front of me.', 'start': 738.45, 'duration': 2.782}, {'end': 750.879, 'text': 'So nearly 1.3 million people die in road crashes each year, on an average of 3,287 deaths per day.', 'start': 741.993, 'duration': 8.886}, {'end': 755.382, 'text': 'And an additional 20 to 50 million are injured or disabled.', 'start': 751.399, 'duration': 3.983}, {'end': 762.267, 'text': 'And more than half of all the road traffic deaths occur among the young adults aged from 15 years to 44 years.', 'start': 755.842, 'duration': 6.425}, {'end': 765.509, 'text': 'Now you guys can imagine the wastage of human resources.', 'start': 763.047, 'duration': 2.462}, {'end': 770.968, 'text': 'Why do you think it happens? It happens because humans tend to become negligible and careless at times.', 'start': 766.104, 'duration': 4.864}], 'summary': '1.3m die in road crashes yearly, 3,287/day. 20-50m injured. negligence a key factor.', 'duration': 32.518, 'max_score': 738.45, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0738450.jpg'}, {'end': 805.891, 'src': 'embed', 'start': 780.335, 'weight': 0, 'content': [{'end': 785.178, 'text': 'So the more number of cars we have, the more number of reckless drivers we have, and the more number of accidents happen every day.', 'start': 780.335, 'duration': 4.843}, {'end': 789.302, 'text': 'Now, a possible solution to this is if a car can drive on its own.', 'start': 785.779, 'duration': 3.523}, {'end': 793.865, 'text': "Now, obviously, a machine won't drink and drive, and a machine will never get tired.", 'start': 789.562, 'duration': 4.303}, {'end': 797.089, 'text': 'Because of all these reasons, self-driving cars are in trees.', 'start': 794.568, 'duration': 2.521}, {'end': 800.63, 'text': 'These cars will make our roads safer than what it is right now.', 'start': 797.649, 'duration': 2.981}, {'end': 805.891, 'text': 'Now since we are talking about self-driving cars, let me tell you that we even have self-flying helicopters.', 'start': 801.39, 'duration': 4.501}], 'summary': 'Increasing cars lead to more accidents, self-driving cars offer safer roads, and self-flying helicopters are available.', 'duration': 25.556, 'max_score': 780.335, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0780335.jpg'}, {'end': 954.086, 'src': 'embed', 'start': 923.666, 'weight': 2, 'content': [{'end': 926.548, 'text': 'Yeah, so let me tell you a few interesting details about Watson.', 'start': 923.666, 'duration': 2.882}, {'end': 934.034, 'text': 'So the Watson supercomputer processes at a rate of 80 teraflops, that is trillion floating point operations per second.', 'start': 926.908, 'duration': 7.126}, {'end': 938.537, 'text': "And to replicate a high functioning human's ability to answer questions.", 'start': 934.554, 'duration': 3.983}, {'end': 944.882, 'text': 'Watson accesses 90 servers with a combined data store of over 200 million pages of information.', 'start': 938.537, 'duration': 6.345}, {'end': 948.063, 'text': 'which is processed against 6 million logic rules.', 'start': 945.322, 'duration': 2.741}, {'end': 954.086, 'text': 'And the device and its data are self-contained in a space that could actually accommodate 10 refrigerators.', 'start': 948.584, 'duration': 5.502}], 'summary': 'Watson supercomputer processes at 80 teraflops, accesses 90 servers with 200m pages of information, and is self-contained in a space for 10 refrigerators.', 'duration': 30.42, 'max_score': 923.666, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0923666.jpg'}, {'end': 993.796, 'src': 'embed', 'start': 967.253, 'weight': 3, 'content': [{'end': 970.875, 'text': "Google DeepMind's AlphaGo defeated Go champion Lee Sedol,", 'start': 967.253, 'duration': 3.622}, {'end': 974.877, 'text': 'which artificial intelligence researchers thought was not possible to achieve in the next 20 years.', 'start': 970.875, 'duration': 4.002}, {'end': 981.73, 'text': 'So when I was talking about making systems that are more intelligent than us, you can see that we have multiple examples like that.', 'start': 975.267, 'duration': 6.463}, {'end': 990.935, 'text': 'And this game is thought to have originated at least 2,500 to 4,000 years ago, and it is the oldest game that is still played in its original form.', 'start': 982.711, 'duration': 8.224}, {'end': 992.516, 'text': "I didn't know that.", 'start': 991.875, 'duration': 0.641}, {'end': 993.796, 'text': "You're welcome.", 'start': 993.256, 'duration': 0.54}], 'summary': 'Alphago defeated go champion, challenging ai development timeline, showcasing significant progress in ai, and highlighting the ancient origin of the game.', 'duration': 26.543, 'max_score': 967.253, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0967253.jpg'}], 'start': 738.45, 'title': 'Ai and road safety', 'summary': "Covers the potential of self-driving cars to improve road safety by addressing the 1.3 million annual deaths and 20 to 50 million injuries, as well as the advancements in artificial intelligence, including watson's 80 teraflops processing power and alphago's victory over go champion lee sedol.", 'chapters': [{'end': 816.034, 'start': 738.45, 'title': 'Self-driving cars and road safety', 'summary': 'Discusses the alarming statistics of road crashes, including 1.3 million deaths and 20 to 50 million injuries annually, attributing them to human negligence and proposes self-driving cars as a solution to enhance road safety and reduce accidents.', 'duration': 77.584, 'highlights': ['Self-driving cars as a solution to enhance road safety and reduce accidents, as they eliminate human factors such as drunken driving, fatigue, and negligence.', 'Alarming statistics of road crashes, including 1.3 million deaths and 20 to 50 million injuries annually, with a majority occurring among young adults aged 15 to 44 years.', 'The potential of self-flying helicopters like the K-Max for firefighting, capable of carrying up to 6,000 pounds of cargo and dropping nearly 2,800 gallons of water on fires.']}, {'end': 1001.16, 'start': 816.774, 'title': 'Artificial intelligence advancements', 'summary': "Discusses various applications of artificial intelligence, including the vigilante helicopter, watson supercomputer, and alphago's victory, highlighting watson's processing power of 80 teraflops, 200 million pages of data, and alphago's unexpected win over go champion lee sedol.", 'duration': 184.386, 'highlights': ["Watson supercomputer processes at a rate of 80 teraflops, accessing 90 servers with a combined data store of over 200 million pages of information. Watson's processing power of 80 teraflops and access to 200 million pages of information showcase its high-performance capabilities.", "Google DeepMind's AlphaGo defeated Go champion Lee Sedol, which artificial intelligence researchers thought was not possible to achieve in the next 20 years. AlphaGo's victory over Go champion Lee Sedol defied expectations of artificial intelligence researchers, demonstrating a significant advancement in AI capabilities.", "Vigilante helicopter combines the function of a drone, a helicopter, and trained snipers for stopping hijackers. The Vigilante helicopter's multifunctional capabilities make it a unique application of artificial intelligence technology for addressing security threats."]}], 'duration': 262.71, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz0738450.jpg', 'highlights': ['Self-driving cars eliminate human factors like drunken driving, fatigue, and negligence, enhancing road safety.', '1.3 million deaths and 20 to 50 million injuries occur annually in road crashes, with a majority among young adults aged 15 to 44 years.', 'Watson supercomputer processes at a rate of 80 teraflops, accessing 90 servers with a combined data store of over 200 million pages of information.', "AlphaGo's victory over Go champion Lee Sedol defied expectations of artificial intelligence researchers, demonstrating a significant advancement in AI capabilities."]}, {'end': 1230.108, 'segs': [{'end': 1055.132, 'src': 'embed', 'start': 1019.729, 'weight': 0, 'content': [{'end': 1024.992, 'text': "We'll understand how it evolved, what was the reason for its introduction, what were we doing before that.", 'start': 1019.729, 'duration': 5.263}, {'end': 1027.294, 'text': 'So all those things will be covered in this particular module.', 'start': 1025.012, 'duration': 2.282}, {'end': 1030.876, 'text': "Then we'll understand how neural networks work with TensorFlow.", 'start': 1028.074, 'duration': 2.802}, {'end': 1035.128, 'text': 'Now, TensorFlow is nothing but a Python library used for implementing deep learning models.', 'start': 1031.348, 'duration': 3.78}, {'end': 1037.608, 'text': 'The third module will also deal with the same.', 'start': 1035.848, 'duration': 1.76}, {'end': 1040.81, 'text': "And by the end of fourth module, we'll be the master of deep networks.", 'start': 1038.169, 'duration': 2.641}, {'end': 1043.869, 'text': "After that, we'll be discussing various types of networks.", 'start': 1041.609, 'duration': 2.26}, {'end': 1046.991, 'text': 'First is convolutional neural networks that are used for image recognition.', 'start': 1043.91, 'duration': 3.081}, {'end': 1050.091, 'text': 'Then recurrent neural networks, RBM and autoencoders.', 'start': 1047.491, 'duration': 2.6}, {'end': 1055.132, 'text': 'Then the eighth module will deal with Keras, which is nothing but one more library like TensorFlow.', 'start': 1050.652, 'duration': 4.48}], 'summary': 'The training covers tensorflow and deep learning, including cnn and rnn, leading to mastery in deep networks.', 'duration': 35.403, 'max_score': 1019.729, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz01019729.jpg'}, {'end': 1099.615, 'src': 'embed', 'start': 1070.426, 'weight': 2, 'content': [{'end': 1075.791, 'text': "Now in real estate price prediction, you'll be given a data set that will contain a lot of features or you can say columns.", 'start': 1070.426, 'duration': 5.365}, {'end': 1080.454, 'text': 'So those columns will be like crime rate, what is the size of your house and things like that.', 'start': 1076.311, 'duration': 4.143}, {'end': 1083.617, 'text': 'And your last column will be the label that is the house value.', 'start': 1081.015, 'duration': 2.602}, {'end': 1086.267, 'text': 'You need to train your model on that particular data set.', 'start': 1084.266, 'duration': 2.001}, {'end': 1092.211, 'text': 'So whenever you feed in those inputs, those features, then it should predict what is the value of that particular house.', 'start': 1086.828, 'duration': 5.383}, {'end': 1094.632, 'text': 'The next project is Nevel Mine Detector.', 'start': 1092.811, 'duration': 1.821}, {'end': 1099.615, 'text': 'So it is basically used in order to figure out whether the obstacle is a rock or is it a nevel mine.', 'start': 1095.293, 'duration': 4.322}], 'summary': 'Real estate price prediction involves training a model with features like crime rate and house size to predict house value. the nevel mine detector project aims to distinguish between rocks and nevel mines.', 'duration': 29.189, 'max_score': 1070.426, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz01070426.jpg'}, {'end': 1143.212, 'src': 'embed', 'start': 1106.539, 'weight': 3, 'content': [{'end': 1112.323, 'text': 'So the data set basically contains sonar signals bounced off a metal cylinder as well as sonar signals bounced off a rock.', 'start': 1106.539, 'duration': 5.784}, {'end': 1120.461, 'text': 'So you need to train your model on that particular data set so that when you feed in an input, it should determine whether it is a rock or is it a.', 'start': 1113.018, 'duration': 7.443}, {'end': 1122.341, 'text': 'So the next project will be very interesting guys.', 'start': 1120.461, 'duration': 1.88}, {'end': 1123.982, 'text': "It's about image recognition system.", 'start': 1122.421, 'duration': 1.561}, {'end': 1129.824, 'text': "So here, the data set that we'll use will contain 10 types of images and multiple images of those 10 classes.", 'start': 1124.462, 'duration': 5.362}, {'end': 1136.826, 'text': 'You need to train your model on that particular data set so that whenever you feed in an image which belongs to those 10 classes,', 'start': 1130.344, 'duration': 6.482}, {'end': 1139.027, 'text': 'it should be able to recognize that particular image.', 'start': 1136.826, 'duration': 2.201}, {'end': 1143.212, 'text': 'It can be a bird, it can be an airplane, automobile, and similarly there are seven other classes.', 'start': 1139.411, 'duration': 3.801}], 'summary': 'Data set includes sonar signals for metal cylinder and rock, and 10-class image recognition system to be trained.', 'duration': 36.673, 'max_score': 1106.539, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz01106539.jpg'}, {'end': 1192.896, 'src': 'embed', 'start': 1163.458, 'weight': 1, 'content': [{'end': 1166.219, 'text': 'We have one which is the sentiment analysis system.', 'start': 1163.458, 'duration': 2.761}, {'end': 1171.841, 'text': "So you'll be training your model on an IMDB data set which will tell you whether you like a particular movie or not,", 'start': 1166.299, 'duration': 5.542}, {'end': 1173.321, 'text': 'based on your earlier preferences.', 'start': 1171.841, 'duration': 1.48}, {'end': 1176.302, 'text': 'And then the last project is very interesting.', 'start': 1173.721, 'duration': 2.581}, {'end': 1178.642, 'text': 'This is a wine classifier project.', 'start': 1176.702, 'duration': 1.94}, {'end': 1181.783, 'text': "You'll be classifying different kinds of wine using a neural network.", 'start': 1178.862, 'duration': 2.921}, {'end': 1185.915, 'text': 'Well, the voice of Reshna was very different when she was explaining the sixth project.', 'start': 1182.574, 'duration': 3.341}, {'end': 1187.175, 'text': "I think she's pretty excited about it.", 'start': 1185.975, 'duration': 1.2}, {'end': 1188.415, 'text': 'Yes, I am excited about it.', 'start': 1187.195, 'duration': 1.22}, {'end': 1189.995, 'text': 'This is a very cool project.', 'start': 1188.455, 'duration': 1.54}, {'end': 1192.896, 'text': 'So by this, we have reached the end of our sessions.', 'start': 1190.715, 'duration': 2.181}], 'summary': 'Sentiment analysis on imdb data and wine classification using neural network, concluding the session.', 'duration': 29.438, 'max_score': 1163.458, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz01163458.jpg'}], 'start': 1001.917, 'title': 'Ai & deep learning with tensorflow and projects', 'summary': 'Discusses the edureka course on ai and deep learning with tensorflow, covering topics like deep learning, neural networks, and keras library. it also covers various projects including real estate price prediction, mine detection, image recognition, digit recognition, sentiment analysis, and wine classification.', 'chapters': [{'end': 1055.132, 'start': 1001.917, 'title': 'Ai & deep learning with tensorflow', 'summary': 'Discusses the structure and content of the edureka course on artificial intelligence and deep learning with tensorflow, covering topics like deep learning, neural networks, various types of networks, and the keras library.', 'duration': 53.215, 'highlights': ['The course structure includes understanding deep learning, neural networks, and various types of networks like convolutional neural networks and recurrent neural networks.', 'TensorFlow is a Python library used for implementing deep learning models, and the course covers its usage in detail.', 'The eighth module of the course focuses on Keras, another library like TensorFlow used for deep learning.', 'The course will make the participants masters of deep networks by the end of the fourth module.']}, {'end': 1230.108, 'start': 1055.853, 'title': 'Ai and deep learning projects', 'summary': 'Covers various projects including real estate price prediction, nevel mine detection, image recognition, digit recognition, sentiment analysis, and wine classification, with datasets containing features and classes for training models to make predictions.', 'duration': 174.255, 'highlights': ['The first project is real estate price prediction, where the dataset contains features like crime rate and house size, and the model is trained to predict house values. Dataset includes features such as crime rate and house size, with the model predicting house values.', 'The next project is nevel mine detection, with the dataset containing sonar signals for training the model to distinguish between rocks and nevel mines. Dataset includes sonar signals to distinguish between rocks and nevel mines.', 'The chapter also discusses image recognition, with the dataset containing 10 types of images and multiple images for each class to train the model to recognize the images. Dataset includes 10 types of images with multiple images per class to train the model for recognition.', 'The chapter further covers digit recognition, sentiment analysis, and wine classification projects, each with specific datasets for training the models. Covers digit recognition, sentiment analysis, and wine classification projects with specific datasets for training the models.']}], 'duration': 228.191, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0vfZFL-ftz0/pics/0vfZFL-ftz01001917.jpg', 'highlights': ['The course will make the participants masters of deep networks by the end of the fourth module.', 'The chapter further covers digit recognition, sentiment analysis, and wine classification projects with specific datasets for training the models.', 'The first project is real estate price prediction, where the dataset contains features like crime rate and house size, and the model is trained to predict house values.', 'The next project is nevel mine detection, with the dataset containing sonar signals for training the model to distinguish between rocks and nevel mines.', 'The chapter also discusses image recognition, with the dataset containing 10 types of images and multiple images for each class to train the model to recognize the images.', 'The course structure includes understanding deep learning, neural networks, and various types of networks like convolutional neural networks and recurrent neural networks.', 'TensorFlow is a Python library used for implementing deep learning models, and the course covers its usage in detail.', 'The eighth module of the course focuses on Keras, another library like TensorFlow used for deep learning.']}], 'highlights': ['Sophia, an AI robot, can learn in less than a year what takes humans 20 years, and has expressed a desire to destroy humanity.', 'Discussion about the potential threat of highly advanced robots with the ability to surpass human intelligence and turn against humanity.', 'Elon Musk has expressed concerns about artificial intelligence, stating that it is more dangerous than North Korea, sparking a debate on the potential risks associated with AI.', 'The Google AI translation tool developed its own intermediate language to translate Japanese and Korean without using English as a bridge, showcasing the potential for unexpected and autonomous behavior in machines.', 'Artificial intelligence involves creating intelligent software and machines capable of thinking, analyzing, and decision-making, demonstrating the concept of machine intelligence.', 'Machine learning provides computers with the ability to learn without being explicitly programmed, demonstrated through training a machine to recognize dog images.', 'Deep learning involves extracting general abstract features common to a particular object, such as recognizing features common to all dogs, and using artificial neural networks to perform functions inspired by brain cells.', "Alan Turing proposed the Turing test in the 1950s, assessing a machine's intelligence based on an interrogator's inability to distinguish its responses from those of a human.", 'AI is crucial in heavy industries like automobile and chemical manufacturing, handling tasks hazardous for humans, as evidenced by significant robot sales in countries like China, Japan, the United States, the Republic of Korea, and Germany.', 'Self-driving cars eliminate human factors like drunken driving, fatigue, and negligence, enhancing road safety.', '1.3 million deaths and 20 to 50 million injuries occur annually in road crashes, with a majority among young adults aged 15 to 44 years.', 'Watson supercomputer processes at a rate of 80 teraflops, accessing 90 servers with a combined data store of over 200 million pages of information.', 'The course will make the participants masters of deep networks by the end of the fourth module.', 'The chapter further covers digit recognition, sentiment analysis, and wine classification projects with specific datasets for training the models.', 'The first project is real estate price prediction, where the dataset contains features like crime rate and house size, and the model is trained to predict house values.', 'The next project is nevel mine detection, with the dataset containing sonar signals for training the model to distinguish between rocks and nevel mines.', 'The chapter also discusses image recognition, with the dataset containing 10 types of images and multiple images for each class to train the model to recognize the images.', 'The course structure includes understanding deep learning, neural networks, and various types of networks like convolutional neural networks and recurrent neural networks.', 'TensorFlow is a Python library used for implementing deep learning models, and the course covers its usage in detail.', 'The eighth module of the course focuses on Keras, another library like TensorFlow used for deep learning.']}