Summary
In this chapter, we have discussed different components of the TensorFlow ecosystem. We started with TensorFlow Hub, the place where many pretrained models are available. Next, we talked about the TensorFlow Datasets and learned how to build a data pipeline using TFDS. We learned how to use TensorFlow Lite for mobile devices and IoT and deployed real applications on Android devices. Then, we also talked about federated learning for distributed learning across thousands (millions) of mobile devices, taking into account privacy concerns. The last section of the chapter was devoted to TensorFlow.js for using TensorFlow with vanilla JavaScript or with Node.js.
The next chapter is about advanced CNNs, where you will learn some advanced CNN architectures and their applications.
