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32607 |
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|a 2016022992
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|a 9780262035613 (hardcover : alk. paper)
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|a 0262035618 (hardcover : alk. paper)
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|a Goodfellow, Ian
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1 |
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|a Deep learning /
|c Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
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| 260 |
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|
|a Cambridge, Massachusetts :
|b The MIT Press,
|c c2016
|
| 300 |
|
|
|a xxii, 775 pages :
|b illustrations (some color) ;
|c 24 cm.
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| 490 |
0 |
|
|a Adaptive computation and machine learning
|
| 504 |
|
|
|a Includes bibliographical references (pages [711]-766) and index.
|
| 505 |
0 |
|
|a Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models.
|
| 526 |
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|a AAL
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|a Development Book Agency
|e 32607
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| 650 |
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|a Machine learning,
|9 24831
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|a Computer science.
|9 42418
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|a Bengio, Yoshua
|9 24832
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| 700 |
1 |
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|a Courville, Aaron
|9 24833
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| 852 |
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|a Ayesha Abed Library
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