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Scaling TensorFlow using tf.distribute
TensorFlow's tf.distribute library helps you scale your model from a single GPU to multiple GPUs and to multiple machines using simple APIs that require very few changes to your existing code. Join Taylor Robie and Priya Gupta (Google) to learn how you can use tf.distribute to scale your machin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
O'Reilly Media, Inc.,
2020.
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| Edición: | 1st edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 520 | |a TensorFlow's tf.distribute library helps you scale your model from a single GPU to multiple GPUs and to multiple machines using simple APIs that require very few changes to your existing code. Join Taylor Robie and Priya Gupta (Google) to learn how you can use tf.distribute to scale your machine learning model on a variety of hardware platforms ranging from commercial cloud platforms to dedicated hardware. You'll learn tools and tips to get the best scaling for your training in TensorFlow. Prerequisite knowledge Familiarity with TensorFlow What you'll learn Learn how to distribute TensorFlow using best practices in 2.0 on a variety of equipment. | ||
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