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...
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| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
O'Reilly Media, Inc.,
2020.
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| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | CONNECT CONNECT |
| Summary: | 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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| Physical Description: | 1 online resource (1 video file, approximately 34 min.) |
