LEADER 00000cam 2200349 i 4500
005 20170712122620.0
008 160613t20162016maua b 001 0 eng
010 2016022992
019 19134018
020 9780262035613 (hardcover : alk. paper)
020 0262035618 (hardcover : alk. paper)
040 DLC|beng|cDLC|erda|dDLC
042 pcc
050 00 Q325.5|b.G66 2016
100 1 Goodfellow, Ian,|eauthor
245 10 Deep learning /|cIan Goodfellow, Yoshua Bengio, and Aaron
Courville.
264 1 Cambridge, Massachusetts :|bThe MIT Press,|c2016.
300 xxii, 775 pages :|billustrations (some color) ;|c24 cm.
490 0 Adaptive computation and machine learning
504 Includes bibliographical references (pages 711-766) and
index.
505 0 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.
650 0 Machine learning,
700 1 Bengio, Yoshua,|eauthor
700 1 Courville, Aaron,|eauthor
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Q325.5.G66 2016 |
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