Chapter 7: Neural Network Classifier with TPOT
In this chapter, you'll learn how to build your deep learning classifier in an automated fashion – by using the TPOT library. It's assumed that you know the basics of artificial neural networks, so terms such as neurons, layers, activation functions, and learning rates should sound familiar. If you don't know how to explain these terms simply, please revisit Chapter 6, Getting Started with Deep Learning: Crash Course in Neural Networks.
Throughout this chapter, you'll learn how easy it is to build a simple classifier based on neural networks and how you can tweak the neural network so that it better suits your needs and the training data.
This chapter will cover the following topics:
- Exploring the dataset
- Exploring options for training neural network classifiers
- Training a neural network classifier
