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TensorFlow Lite Solution for running ML on-device /
Pete Warden and Nupur Garg (Google) take you through TensorFlow Lite, TensorFlow's lightweight cross-platform solution for mobile and embedded devices. It enables on-device machine learning inference with low latency, high performance, and a small binary size. It's the standard solution at...
| 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) |
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| 520 | |a Pete Warden and Nupur Garg (Google) take you through TensorFlow Lite, TensorFlow's lightweight cross-platform solution for mobile and embedded devices. It enables on-device machine learning inference with low latency, high performance, and a small binary size. It's the standard solution at Google and the primary inference framework for all on-device use cases. Prerequisite knowledge Familiarity with ML What you'll learn Learn how TensorFlow Lite tools work and how to convert and optimize models for mobile and embedded devices. | ||
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