![]() ![]() deb package because no longer needed: rm -rf b rm -rf tensorflow-lite_64.deb Testing TensorFlow Lite (C API)ĭebian package contains a shared libraries of C and C++ APIs. When the download is finished, install TensorFlow Lite: sudo apt install -y. deb package from releases page of the repository: wget wget Execute the following command to download the. Testing performed on Raspberry Pi 4 Model B (8 GB). ![]() TensorFlow Lite was built with the following features: We have created a release on GitHub repository and uploaded the b package. Binaries are compatible with Raspberry Pi OS Bullseye (32-bit and 64-bit). deb) that contains precompiled TensorFlow Lite 2.12.0 binaries for Raspberry Pi 3 Model A+/B+ and Raspberry Pi 4 Model B. ![]() ![]() This tutorial shows how to install precompiled TensorFlow Lite 2.12 on Raspberry Pi. Before running the model, we must convert a TensorFlow model to TensorFlow Lite model using TensorFlow Lite converter. We cannot train a model using TensorFlow Lite. Some content is licensed under the numpy license.TensorFlow Lite is an open-source library that enables to run machine learning models and do inference on end devices, such as mobile or embedded devices. Java is a registered trademark of Oracle and/or its affiliates. For details, see the Google Developers Site Policies. Major features, improvements, and changes of each version are available in theĮarlier branches of the documentation can be found onĮxcept as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. The following versions of the TensorFlow api-docs are currently available. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |