在移动设备和 IoT 设备上部署机器学习模型
TensorFlow Lite 是一种用于设备端推断的开源深度学习框架。
我们的一些 TensorFlow Lite 用户
Arm 的工程师开发了优化版本的 TensorFlow Lite 内核，可以使用 CMSIS-NN 在 Arm Cortex-M 核心上提供极速的性能。
The task of recovering a high resolution (HR) image from its low resolution counterpart is commonly referred to as Single Image Super Resolution (SISR). In this tutorial, we use a pre-trained ESRGAN model from TensorFlow Hub and generate super resolution images using...
We are excited to announce that Teachable Machine now allows you to train your own sound classification model and export it in the TensorFlow Lite (TFLite) format. Then you can integrate the TFLite model to your mobile applications or your IoT devices. This is an easy...
Learn how to train and deploy an ML model on an Android app in just a few lines of code with TensorFlow Lite Model Maker and Android Studio. From here you can then explore how to use various tools from Google to turn a prototype into a production app. Presented by...