ISBN-13: 9781617296864, 978-1617296864. "The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better.". Written by Google AI researcher Franois Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research.
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ISBN-13: 9789811367939, 978-9811367939. Advances in Deep Learning. This book introduces readers to both basic and advanced concepts in deep network models. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications.
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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. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep.
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NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY.
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It contains 20 chapters. We do not accept P.O. Boxes. We're happy to help and do our best to make you satisfied. This is to ensure that you receive each item as soon as possible. Publisher Independently published (16 Sept. 2019).
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From the Back Cover This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0.Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. Youll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general.
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However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society.
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Deep Learning and Practice with MindSpore. ISBN-13: 9789811622328, 978-9811622328.
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