TY  - BOOK
AU  - Charniak, Eugene
TI  -  Introduction to deep learning
SN  - 9780262039512
U1  -  006.31 CHA 
PY  - 2018///
CY  - Massachusetts
PB  - The MIT Press
KW  - Computational learning theory
N1  - Includes index
N2  - A project-based guide to the basics of deep learning.
This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques
ER  -