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Fundamentals of deep learning : designing next-generation machine intelligence algorithms
Material type:
TextPublication details: New Delhi : O'Reilly, ©2017.Description: xii, 283 p. : ill.; 24 cmISBN: - 9789352135608
- 006.31 23 BUD-F
- TA347.A78 B83 2017
Contents:
The neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning.
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
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IIITD Reference | Computer Science and Engineering | CB 006.31 BUD-F (Browse shelf(Opens below)) | Checked out | DBT Project Grant | 08/05/2024 | 008756 | |
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IIITD General Stacks | Computer Science and Engineering | 006.31 BUD-F (Browse shelf(Opens below)) | Available | 008720 | |||
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Books
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IIITD Reference | Computer Science and Engineering | REF 006.31 BUD-F (Browse shelf(Opens below)) | Not for loan | 008721 |
Total holds: 0
Includes bibliographical references and index.
The neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning.
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