Summary

Let's take a quick look at what we learned in this chapter. We began by briefly discussing artificial intelligence and its evolution through machine learning and then deep learning. We then saw details about some interesting applications of deep learning like machine translation, chatbots, and optical character recognition. This being the first chapter of the book, we focus on learning the fundamentals for deep learning.

We learned how ANN works with the help of some mathematics. Also, we saw different types of activation functions used in ANN and deep learning. Finally, we moved to set our coding environment with TensorFlow and Keras for building deep learning models.

In the next chapter, we will see how neural networks evolved into deep feedforward networks and deep learning. We will also code our first deep learning model with TensorFlow and Keras!