Inside TensorFlow: TensorFlow Lite
TensorFlow Lite is a lightweight version of TensorFlow designed for mobile and embedded devices. It offers an interpreter, acceleration with delegates, model conversion with Python, inference with Java, and selective registration with Bazel. It is an ideal choice for on-device machine learning applications. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Learners can learn about the basics of TensorFlow Lite, such as why it is used, how it is different from TensorFlow, and how to use it. They can also learn about the interpreter, acceleration, model conversion, inference, selective registration, performance, benchmarking, and optimization. Additionally, learners can learn about the documentation, model repository, and TensorFlow Lite roadmap. Finally, learners can gain an understanding of how to use TensorFlow Lite for fast execution and model conversion with post-training quantization.
Course Provider
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