Getting Started with Deep Learning

Welcome to the Hands-On Deep Learning Architectures with Python! If you are completely unfamiliar with deep learning, you can begin your journey right here with this book. And for readers who have an idea about it, we have covered almost every aspect of deep learning. So you are definitely going to learn a lot more about deep learning from this book.

The book is laid out in a cumulative manner; that is, it begins from the basics and builds it over and over to get to advanced levels. In this chapter, we discuss how humans started creating intelligence in machines and how artificial intelligence gradually evolved to machine learning and eventually deep learning. We then see some nice applications of deep learning. Moving back to the fundamentals, we will learn how artificial neurons work and, in the end, set up our environment for coding our way through deep learning models. After completing this chapter, you will have learned about the following things.

• What artificial intelligence is, and how machine learning, deep learning relates to it
• The types of machine learning tasks
• Information about some interesting deep learning applications
• What an artificial neural network is, and how it works
• Setting up TensorFlow and Keras with Python

Let's begin with a short discussion on artificial intelligence and the relationships between artificial intelligence, machine learning, and deep learning.