5. Supervised Learning – Key Steps

Overview

In this chapter, we will dive deep into the concept of neural networks and describe the processes of forward and backpropagation. We will solve a supervised learning classification problem using a neural network and analyze the results of the neural network by performing error analysis.

By the end of this chapter, you will be able to train a network to solve a classification problem and fine-tune some of the hyperparameters of the network to improve its performance.