Learning TensorFlow : a guide to building deep learning systems / Tom Hope, Yehezkel S. Resheff, and Itay Lieder.
By: BD-CoBAI (Data scientist) [author.]
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Contributor(s): Resheff, Yehezkel S [author.] | Lieder, Itay [author.].
Material type: 
TextPublisher: Sebastopol, CA : New Delhi : O'Reilly Media, Shroff Publishers & Distributors Pvt. Ltd., c2017Edition: 1st ed.Description: x, 228 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781491978511; 9789352136100.Subject(s): TensorFlow (Electronic resource) | Machine learning | Artificial intelligenceDDC classification: 006.3/1 | Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Book | BAIUST Library General Stacks | 006.3/1 H771l (Browse shelf) | 1 | Not For Loan | 010391 | |
| Book | BAIUST Library General Stacks | 006.3/1 H771l (Browse shelf) | 2 | Available | 010392 | |
| Book | BAIUST Library General Stacks | 006.3/1 H771l (Browse shelf) | 3 | Available | 010393 |
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.
Computer Science and Engineering CSE
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