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TensorFlow for Mobile and IoT and TensorFlow.js
In this chapter we will learn the basics of TensorFlow for Mobile and IoT (Internet of Things). We will briefly present TensorFlow Mobile and we will introduce TensorFlow Lite in more detail. TensorFlow Mobile and TensorFlow Lite are open source deep learning frameworks for on-device inference. Some examples of Android, iOS, and Raspberry PI applications will be discussed, together with examples of deploying pretrained models such as MobileNet v1, v2, v3 (image classification models designed for mobile and embedded vision applications), PoseNet for pose estimation (a vision model that estimates the poses of people in image or video), DeepLab segmentation (an image segmentation model that assigns ...
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