Summary
Neural networks and DL have added the modern color to the traditional ML spectrum. In this chapter, we started by learning the concepts of neural networks and DL by examining the cost functions, optimizer algorithms, and activation functions. Then, we introduced advanced neural networks, including CNN, RNN, LSTM, and GAN. As we can see, by introducing neural networks, DL extended ML concepts and made a breakthrough in many applications such as computer vision, NLP, and others.
This chapter concludes part two of the book: Machine Learning and Deep Learning. In part three, we will focus on Machine Learning the Google Way, where we will talk about how Google does ML and DL in Google Cloud. We will start part three with learning about BQML, Google TensorFlow, and Keras in the following chapter.
