在行動裝置和 IoT 裝置上部署機器學習模型
TensorFlow Lite 是一種開放原始碼深度學習架構，可在裝置端執行推論。
我們的幾位 TensorFlow Lite 使用者
Arm’s engineers have developed optimized versions of the TensorFlow Lite kernels that use CMSIS-NN to deliver blazing fast performance on Arm Cortex-M cores.
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...