The TensorFlow Workshop

3. TensorFlow Development

Overview

TensorFlow provides many resources for creating efficient workflows when developing data science and machine learning applications. In this chapter, you will learn how to use TensorBoard to visualize TensorFlow graphs and operations, TensorFlow Hub to access a community of users (a great source of pre-trained models), and Google Colab, which is a collaborative environment for developing code with others. You will use these tools to accelerate development by maximizing computational resources, transferring knowledge from pre-trained models, and visualizing all aspects of the model-building process.

Introduction

In the previous chapter, you learned how to load and process a variety of data types so that ...