Deep learning and unsupervised pretraining

In this section, we will introduce the most important concept in deep learning: how to improve learning by unsupervised pretraining. With unsupervised pretraining, we use neural networks to find latent features and factors in the data to later pass to a neural network. This method has the powerful capability of training networks to learn tasks that other machine learning methods can't, without handcrafting features. We will get into the specifics and introduce a new powerful library.