TensorFlow in Action

4 Dipping toes in deep learning

This chapter covers

• Implementing and training fully connected neural networks using Keras
• Implementing and training convolutional neural networks to classify images
• Implementing and training a recurrent neural network to solve a time-series problem

In chapter 3, you learned about the different model-building APIs provided by TensorFlow and their advantages and disadvantages. You also learned about some of the options in TensorFlow to retrieve and manipulate data. In this chapter, you will learn how to leverage some of that to build deep neural networks and use them to solve problems.

Deep learning is a broad term that has many different algorithms under its wings. Deep learning algorithms come in many different ...