Implementing a Multilayer Artificial Neural Network from Scratch
As you may know, deep learning is getting a lot of attention from the press and is without any doubt the hottest topic in the machine learning field. Deep learning can be understood as a subfield of machine learning that is concerned with training artificial neural networks (NNs) with many layers efficiently. In this chapter, you will learn the basic concepts of artificial NNs so that you are well equipped for the following chapters, which will introduce advanced Python-based deep learning libraries and deep neural network (DNN) architectures that are particularly well suited for image and text analyses.
The topics that we will cover in this chapter are as follows:
- Gaining a conceptual understanding of multilayer NNs
- Implementing the fundamental backpropagation algorithm for NN training from scratch
- Training a basic multilayer NN for image classification
