Torch7 Tutorials
Tutorial materials for the 2012 IPAM Graduate Summer School on Deep Learning and Feature Learning using Theano and Torch.
What is Torch7 Tutorials?
IPAM Tutorials is a collection of educational materials from the 2012 IPAM Graduate Summer School on Deep Learning and Feature Learning. It provides hands-on tutorials for implementing supervised and unsupervised learning algorithms using both Python/Theano and Lua/Torch7 frameworks. The materials help participants gain practical implementation experience with various machine learning models and optimization techniques.
Graduate students and researchers attending the 2012 IPAM summer school who want hands-on experience with deep learning implementations using Theano and Torch frameworks.
These tutorials offer a unique dual-framework approach, allowing direct comparison between Python/Theano and Lua/Torch7 implementations of the same algorithms, providing valuable insights into different deep learning programming paradigms.
Overview
IPAM Tutorials on Theano/Torch
Use Cases
Best For
- Learning historical deep learning implementations from 2012
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