Start

These tutorials were originally designed for the IPAM Summer School on Deep Learning: more info here.

This wiki provides multiple tutorials, with the overall objective of teaching you how to do machine learning with Torch7.

Torch7 provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to an easy and fast scripting language (LuaJIT) and an underlying C implementation.

These tutorials should be read/done in order.

• Tutorial 1: Setup / Basics / Getting Started
• Tutorial 2: Supervised Learning
• Tutorial 3: Unsupervised Learning
• Tutorial 4: Graphical Models
• Tutorial 5: Creating New Modules
• Tutorial 6: Using CUDA