谷歌发布 TensorFlow Lite [官方网站,文档]

本文是全系列中第6 / 8篇:TensorFlow 教程大全

简介 TensorFlow Lite

TensorFlow Lite 是 TensorFlow 针对移动和嵌入式设备的轻量级解决方案。 它能够实现具有低延迟和小存储的设备上的机器学习推断。 TensorFlow Lite 还支持 Android 神经网络 API 的硬件加速。

TensorFlow Lite 使用许多技术来实现低延迟,如优化移动应用程序的内核,预融合激活以及允许更小和更快(定点数学)模型的量化内核。

我们大部分的 TensorFlow Lite 文档暂时在 Github 上。

GitHub:https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite

官方文档:https://www.tensorflow.org/mobile/tflite/

Introduction to TensorFlow Lite

TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It enables on-device machine learning inference with low latency and a small binary size. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API.

TensorFlow Lite uses many techniques for achieving low latency such as optimizing the kernels for mobile apps, pre-fused activations, and quantized kernels that allow smaller and faster (fixed-point math) models.

Most of our TensorFlow Lite documentation is on Github for the time being.

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