TensorFlow 2 Ecosystem

In this chapter, we will learn about the different components of the TensorFlow ecosystem. The chapter will elaborate upon TensorFlow Hub – a repository for pretrained deep learning models – and TensorFlow Datasets – a collection of ready-to-use datasets for ML tasks. TensorFlow JS, the solution for training and deploying ML models on the web, will be introduced. We will also learn about TensorFlow Lite, an open-source deep learning framework for mobile and edge devices. 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 semantic labels (for example, dog, cat, and car) to every pixel in...