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Introduction to deep learning
Material type:
TextPublication details: Massachusetts : MIT Press, ©2018Description: xii, 174 p. : ill. ; 24 cmISBN: - 9780262039512
- 006.31 23 CHA-I
- Q325.7 .C43 2018
Contents:
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.
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
Books
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IIITD Reference | Computer Science and Engineering | CB 006.31 CHA-I (Browse shelf(Opens below)) | Available | DBT Project Grant | 012886 |
Total holds: 0
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.
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