Deep learning
Goodfellow, Ian
creator
creator
author.
Bengio, Yoshua
Courville, Aaron
author.
author.
text
bibliography
mau
Cambridge, MA
MIT Press
2017
2016
2016
monographic
eng
Eng
lis
h
xxii, 775 pages : illustrations (some color) ; 24 cm.
Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models.
Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
Includes bibliographical references (pages 711-766) and index.
Machine learning
006.31 GOO
Adaptive computation and machine learning
9780262035613
0262035618
160613
20181004112428.0