Deployment of models in devices

TensorFlow models can be deployed in mobile devices too. Mobile devices include smartphones, drones, home robots and so on. Billions of smartphones can have applications of computer vision which can use deep learning. One can take a photo and search, stream a video with scenes tagged and so on. Deploying in mobile devices means that the deep learning model is present on the device and inference happens on the device. Models deployed on the device helps in privacy issues. In the following topics, we will discuss how to deploy them across various mobile platforms.

Jetson TX2

Jetson TX2 is an embedding device supplied by NVIDIA specifically efficient AI computing. Jetson TX2 is lightweight, compact and hence suitable for deployment in drones, public places and so on. It also ships preinstalled TensorRT which is a runtime for TensorFlow. You can buy Jetson and flash install Ubuntu, CUDA, CUDNN before installing TensorFlow. Clone https://github.com/jetsonhacks/installTensorFlowTX2...