Building on fundamental concepts from Chapter 4, Introduction to Neural Networks and Deep Learning, we now move into a practical problem: can we predict Bitcoin prices using a deep learning model? In this chapter, we will learn how to build a deep learning model that attempts to do that. We will conclude this chapter by putting all of these components together and building a bare-bones yet complete first version of a deep learning application.
By the end of this chapter, you will be able to:
- Prepare data for a deep learning model
- Choose the right model architecture
- Use Keras, a TensorFlow abstraction library
- Make predictions with a trained model
