Summary

In this chapter, we learned about deep learning and how different it is from machine learning. Deep learning refers to a class of machine learning techniques that perform unsupervised or supervised feature extraction and pattern analysis or classification by exploiting multiple layers of non-linear information processing.

We studied deep feedforward networks, regularization, and optimizing deep learning models. We also learned how to create a neural network to classify hand-written digits using Mocha in Julia.