Summary
In this chapter, we explored a TensorFlow-trained neural network using TensorBoard and trained our own modified version of that network with different epochs and learning rates. This gave you hands-on experience of how to train a highly performant neural network and allowed you to explore some of its limitations.
Do you think we can achieve similar accuracy with real Bitcoin data? We will attempt to predict future Bitcoin prices using a common neural network algorithm in Chapter 2, Real-World Deep Learning: Predicting the Price of Bitcoin. In Chapter 3, Real-World Deep Learning: Evaluating the Bitcoin Model, we will evaluate and improve that model, and finally, in Chapter 4, Productization, we will create a program that serves the prediction of that system via an HTTP API.
