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Deep Learning is a new area of Machine Learning research, which has beenintroduced with the objective of moving Machine Learning closer to one of itsoriginal goals: Artificial Intelligence. Deep Learning is about learningmultiple levels of representation and abstraction that help to make sense ofdata such as images, sound, and text. The tutorials presented here willintroduce you to some of the most important deep learning algorithms and willalso show you how to run them using Theano. Theano is a python library thatmakes writing deep learning models easy, and gives the option of training themon a GPU.

The easiest way to follow the tutorials is tobrowse them online.

Main developmentof this project.

Subdirectories:

• code - Python files corresponding to each tutorial
• data - data and scripts to download data that is used by the tutorials
• doc - restructured text used by Sphinx to build the tutorial website
• html - built automatically by doc/Makefile, contains tutorial website
• issues_closed - issue tracking
• issues_open - issue tracking
• misc - administrative scripts

To build the html version of the tutorials, run python doc/scripts/docgen.py