https://github.com/lisa-lab/DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.
https://github.com/lisa-lab/DeepLearningTutorials

Last synced: 14 days ago
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Deep Learning Tutorial notes and code. See the wiki for more info.

• Host: GitHub
• URL: https://github.com/lisa-lab/DeepLearningTutorials
• Owner: lisa-lab
• License: other
• Created: 2010-01-07T18:42:37.000Z (almost 15 years ago)
• Default Branch: master
• Last Pushed: 2020-09-30T13:03:49.000Z (about 4 years ago)
• Last Synced: 2024-10-15T11:05:11.951Z (26 days ago)
• Language: Python
• Homepage: http://deeplearning.net/tutorial
• Size: 11.1 MB
• Stars: 4,118
• Watchers: 425
• Forks: 2,128
• Open Issues: 22
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

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README

        
Deep Learning Tutorials

=======================

Deep Learning is a new area of Machine Learning research, which has been

introduced with the objective of moving Machine Learning closer to one of its

original goals: Artificial Intelligence.  Deep Learning is about learning

multiple levels of representation and abstraction that help to make sense of

data such as images, sound, and text.  The tutorials presented here will

introduce you to some of the most important deep learning algorithms and will

also show you how to run them using Theano.  Theano is a python library that

makes writing deep learning models easy, and gives the option of training them

on a GPU.

The easiest way to follow the tutorials is to `browse them online

`_.

`Main development `_

of this project.

.. image:: https://secure.travis-ci.org/lisa-lab/DeepLearningTutorials.png

   :target: http://travis-ci.org/lisa-lab/DeepLearningTutorials

Project Layout

--------------

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

Build instructions

------------------

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