TY  - BOOK
AU  - Goodfellow,Ian
AU  - Bengio,Yoshua
AU  - Courville,Aaron
TI  - Deep learning
T2  - Adaptive computation and machine learning
SN  - 9780262035613 (hardcover : alk. paper)
AV  - Q325.5 .G66 2016
U1  - 006.3/1 G651d 2017 23
PY  - 2017///
CY  - Massachusetts
PB  - The MIT Press
KW  - Machine learning
KW  - Applied math and machine learning basics
KW  - Probability and information theory
KW  - Machine learning basics
KW  - Linear algebra
KW  - Deep networks : modern practices. Deep feedforward networks
N1  - Includes bibliographical references (pages 711-766) and index; 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; Computer Science & Engineering
ER  -