Learning TensorFlow: A guide to building deep learning systems / Tom Hope, Yehezkel S. Resheff, and Itay Lieder
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
Contenidos:
1.- Introduction -- 2.- Go with the flow: up and running with tensorflow -- 3.- Understanding tensorflow basics -- 4.- Convolutional neural networks -- 5.- Text I: Working with text ans sequences, and tensorboard visualization -- 6.- Text II: Word vectors, advanced RNN, and embedding visualization -- 7.- Tensorflow abstractions and simplifications -- 8.- Queues, threads, and reading data -- 9.- Distributed tensor flow -- 10.- Exporting and serving models with tensorflow.-
Tipo de ítem | Biblioteca actual | Colección | número de clasificación | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras |
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Biblioteca Campus San Joaquín | Colección General | 006.31 H791 (Navegar estantería(Abre debajo)) | 1 | Disponible | 35609002082651 |
1.- Introduction -- 2.- Go with the flow: up and running with tensorflow -- 3.- Understanding tensorflow basics -- 4.- Convolutional neural networks -- 5.- Text I: Working with text ans sequences, and tensorboard visualization -- 6.- Text II: Word vectors, advanced RNN, and embedding visualization -- 7.- Tensorflow abstractions and simplifications -- 8.- Queues, threads, and reading data -- 9.- Distributed tensor flow -- 10.- Exporting and serving models with tensorflow.-