
Deep Learning
MIT Press Essential Knowledge Series
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Narrated by:
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Joel Richards
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By:
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John D. Kelleher
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.
Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges.
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very good book
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Very understandable explanations
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Great book
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ass kicking good
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As for the book itself, I'm really enjoying the overview this gives on the subject. I bought it alongside the kindle version, and if you must get this narration, please get the printed version as well so you're able to follow what's being said.
Inexperienced narrator on the field
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This book does have a lot of equations, but it was especially helpful to have the narrator explaining what was going on in complex diagrams so I didn’t have to keep flipping back and forth between the text and the figures.
Good performance, but probably need the text to fully grasp what is going on
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Yikes
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