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Learning TensorFlow : a guide to building deep learning systems / Tom Hope, Yehezkel S. Resheff, and Itay Lieder.
Material type:
TextPublisher: Sebastopol, CA : Mumbai O'Reilly Media, SPD 2017Description: x, 228 pages : illustrations ; 23 cmISBN: - 9789352136100
- 006.31 HOP
Contents:
Introduction -- Go with the flow: Up and running with TensorFlow -- Understanding TensorFlow basics -- Convolutional neural networks -- Text I: Working with text and sequences, and TensorFlow visualization -- Text II: Word vectors, Advanced RNN, and embedding visualization -- TensorFlow abstractions and simplifications -- Queues, threads, and reading data -- Distributed TensorFlow -- Exporting and serving models with TensorFlow.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Books
|
H.T. Parekh Library | GSB Collection | 006.31 HOP (Browse shelf(Opens below)) | Available | B2967 |
Rs.700/-
TB 1989/12
Includes index.
Introduction -- Go with the flow: Up and running with TensorFlow -- Understanding TensorFlow basics -- Convolutional neural networks -- Text I: Working with text and sequences, and TensorFlow visualization -- Text II: Word vectors, Advanced RNN, and embedding visualization -- TensorFlow abstractions and simplifications -- Queues, threads, and reading data -- Distributed TensorFlow -- Exporting and serving models with TensorFlow.
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