Chapter 11. Machine Learning by an Artificial Neural Network
In this chapter, you will learn how to build an ANN and train it to perform image classification and object recognition. ANNs are one of the subsets of Machine Learning, and we will talk particularly about MLP networks, which are the most common type of neural networks on pattern recognition scopes.
By the end of this chapter, we will have cover the following:
- The difference between machine learning (ML) and artificial neural network (ANN)
- Multi-layer perceptrons (MLP) networks
- How to define and implement an MLP network
- Evaluate and improve our ANN
- How to recognize objects in images using a trained ANN
