Deep Learning Tutorial
A deep learning tutorial is a great source in order to understand how to use this new machine learning paradigm with big data. There are a wide variety of tutorials available that all have different levels of quality. In this article we provide a collection of good tutorials including some details of what they nicely cover.
Tutorial from LISA lab (University of Montreal)
This great tutorial is providing a step-by-step introduction into the topic with nice hand-on examples on roughly 170 pages. The tutorial is available as pdf to download here. This small book starts with simple topics such as using logistic regression to classify hand-written characters of the MNIST Database and then gradually covers topics with increased complexity like a convolutional neural network. The concrete examples in context are mostly given in Theano and Python.
Learning Deep Architectures for AI
This tutorial on 130 pages provides a very good overview and tutorial into the concept of deep learning in general and its relationships to traditional machine learning models like neural networks in particular. The article is available as pdf to download here. It is slightly more theoretical than other tutorials and unfortunately has no direct examples in a specific deep learning framework. But it offers a great introduction to complicated theoretical topics by using good figures that explain approaches in detail.
Interesting Deep Learning Tutorial
We recommend to check the following video about this subject: