The Machine Learning Workshop - Second Edition

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.

Introduction

In the preceding chapter, we explored three machine learning algorithms to solve supervised learning tasks, either for classification or regression. In this chapter, we will explore one of the most popular machine learning ...