A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks
Quoc Viet Le · 2015
In the previous tutorial, I discussed the use of deep networks to classify nonlinear data. In addition to their ability to handle nonlinear data, deep networks also have a special strength in their flexibility which sets them apart from other tranditional machine learning models: we can modify them in many ways to suit our tasks. In the following, I will discuss three most common modifications: