Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
"Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge...
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| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge, Massachusetts :
The MIT Press,
[2016]
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| Series: | Adaptive computation and machine learning.
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| Subjects: |
| Summary: | "Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. 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. This book introduces a broad range of topics in deep learning." --Publisher's website. |
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| Physical Description: | xxii, 775 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0262035618 9780262035613 |