https://github.com/szagoruyko/idiap-tutorials
https://github.com/szagoruyko/idiap-tutorials
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/szagoruyko/idiap-tutorials
- Owner: szagoruyko
- Created: 2016-07-04T19:07:35.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2016-07-05T13:56:46.000Z (almost 9 years ago)
- Last Synced: 2025-01-01T18:35:05.710Z (5 months ago)
- Language: Jupyter Notebook
- Size: 617 KB
- Stars: 16
- Watchers: 5
- Forks: 7
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Torch tutorials for Deep Learning, Tools and Methods workshop (July 4-5-6, Idiap)
============
Worksop website: http://www.idiap.ch/workshop/dltm/
1. MNIST-autograd example shows usage of autograd to train neural networks and visualize t-SNE embeddings of learned features
2. pretrained-resnet shows how to load pretrain ResNet networks, visualize it and propagate a single image to predict it's classes
3. wide-resnet-multiGPU shows how to train state-of-the-art networks on CIFAR using multiple GPUs on a single machine.
# Credits
Sergey Zagoruyko, Soumith Chintala, July 2016