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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2021-11-01 Pages: 300 Publisher: Machinery Industry Press This book is divided into three parts.?Part 1 will help you quickly understand learning from data. the basic structure of deep learning. how to prepare data. and the basic concepts often used in deep learning.?The second part will focus on unsupervised learning algorithms.?Start with the autoencoder. and then move to a neural network model with deeper and larger scales.?The third part introduces su.
Published by Machinery Industry Press, 2021
ISBN 10: 711168091X ISBN 13: 9787111680918
Language: Chinese
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-05-01 Pages: 292 Publisher: Machinery Industry Press. This book starts from the perspective of a programmer who does not understand machine learning at all. Through a series of vivid and interesting specific application examples. the book uses humorous language to A step-by-step approach to systematically introduce the essential ideas. basic theories and important algorithms of machine learning. and to analyze the design principles and programming methods of linear m.
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Add to basketHardcover. Condition: New. HardCover. Pub Date: 2021-04-01 Pages: 500 Language: Chinese Publisher: Peoples Posts and Telecommunications Publishing House. This book is written by three world-renowned experts. Ian Goodfellow. Yoshua Bengio and Aaron Courville. It is a classic textbook in the field of deep learning. .?The content of the book consists of 3 parts: The first part introduces the basic mathematical tools and machine learning concepts. which are the prerequisites for deep learning; the second part systematicall.
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2021-03-01 Publisher: People's Posts and Telecommunications Press Deep Learning Deep Learning is written by three world-renowned experts Ian Goodfellow. Yoshua Bengio and Aaron Courville. It is a foundational classic textbook in the field of deep learning.?The content of the book consists of 3 parts: The first part introduces the basic mathematical tools and machine learning concepts. which are the prerequisites for deep learning; the second part systemat.
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2016-01-01 Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Deep Learning is written by three well-known experts Ian Goodfellow. Yoshua Bengio and Aaron Courville. It is a foundational classic textbook in the field of deep learning. .?The content of the book consists of 3 parts: the part introduces the basic mathematical tools and machine learning concepts. which are the prerequisites for deep learning; the second part systematically expla.
Seller: liu xing, Nanjing, JS, China
£ 259.21
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2016-01-01 Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Machine learning is an extremely important direction in the field of artificial intelligence research.?In the context of the current era of big data. capturing data and extracting valuable information or patterns from it has made this research field that used to be exclusive to analysts and mathematicians more and more attention.?Through carefully arranged examples. this book cuts.