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Adaptive Computation and Machine Learning Ser Deep Learning by Yoshua Bengio New. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs.
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The product “Deep Learning” is a textbook published by MIT Press in 2016 as part of the Adaptive Computation and Machine Learning series. With 775 pages and hardcover format, this textbook is a comprehensive resource for students and professionals interested in the field of deep learning.
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The product is a textbook titled “Deep Learning” by authors Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Published by MIT Press in 2016 as part of the Adaptive Computation and Machine Learning series, the book covers the subject areas of computer science, AI, and semantics. With a length of 9.3 inches, height of 1.3 inches, and weight of 45.5 ounces, this hardcover book contains 800 pages and is written in English. It is considered a valuable resource for those interested in learning about deep learning techniques and concepts.
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The definitive textbook that shaped modern deep learning. A must-have for machine learning engineers, data scientists, and students seeking a complete foundation in neural networks. 📘 NEW & SEALED – Deep Learning (2016 Edition).
Adaptive Computation and Machine Learning Ser.: Deep Learning by Yoshua Bengio,
The definitive textbook that shaped modern deep learning. A must-have for machine learning engineers, data scientists, and students seeking a complete foundation in neural networks. 📘 NEW & SEALED – Deep Learning (2016 Edition).