Introduction to deep learning
Charniak, Eugene
Introduction to deep learning by Eugene Charniak - Massachusetts : MIT Press, ©2018 - xii, 174 p. : ill. ; 24 cm
Includes bibliographical references (pages 165-168) and index.
1. Feed-forward neural nets 2. Tensorflow 3. Convolutional neural networks 4. Word embeddings and recurrent NNs 5. Sequence-to-sequence learning 6. Deep reinforcement learning 7. Unsupervised neural-network models.
9780262039512
2018026936
Computational learning theory.
Q325.7 / .C43 2018
006.31 / CHA-I
Introduction to deep learning by Eugene Charniak - Massachusetts : MIT Press, ©2018 - xii, 174 p. : ill. ; 24 cm
Includes bibliographical references (pages 165-168) and index.
1. Feed-forward neural nets 2. Tensorflow 3. Convolutional neural networks 4. Word embeddings and recurrent NNs 5. Sequence-to-sequence learning 6. Deep reinforcement learning 7. Unsupervised neural-network models.
9780262039512
2018026936
Computational learning theory.
Q325.7 / .C43 2018
006.31 / CHA-I