The Deep Learning with Keras Workshop

2. Machine Learning versus Deep Learning

Overview

In this chapter, we will begin creating Artificial Neural Networks (ANNs) using the Keras library. Before utilizing the library for modeling, we will get an introduction to the mathematics that comprise ANNs—understanding linear transformations and how they can be applied in Python. You'll build a firm grasp of the mathematics that make up ANNs. By the end of this chapter, we will have applied that knowledge by building a logistic regression model with Keras.

Introduction

In the previous chapter, we discussed some applications of machine learning and even built models with the scikit-learn Python package. The previous chapter covered how to preprocess real-world datasets so that they can ...