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authorSoumith Chintala <soumith@gmail.com>2015-06-08 05:25:42 +0300
committerSoumith Chintala <soumith@gmail.com>2015-06-08 05:25:42 +0300
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---
-## Slides and Notebooks
-- Slides are here: [https://github.com/soumith/cvpr2015/blob/master/cvpr-torch.pdf](https://github.com/soumith/cvpr2015/blob/master/cvpr-torch.pdf)
-- ITorch Notebooks are here: [https://github.com/soumith/cvpr2015](https://github.com/soumith/cvpr2015)
-- Amazon EC2 image with torch + itorch + Atari + notebooks can be launched from [this link](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8) and the AMI ID is: ami-b36981d8
--
+###Slides and Notebooks
+- [Slides](cvpr-torch.pdf)
+- Amazon EC2 image with torch + itorch + Atari + notebooks can be launched [from this link](https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8) and the AMI ID is: ami-b36981d8
+
+Notebooks:
+- [Deep Learning with Torch - A 60-minute blitz](https://github.com/soumith/cvpr2015/blob/master/Deep Learning with Torch.ipynb)
+- [NNGraph - graph style neural networks](https://github.com/soumith/cvpr2015/blob/master/NNGraph Tutorial.ipynb)
+- [Character-level Recurrent networks. An introduction to real-world nngraph RNN training](https://github.com/soumith/cvpr2015/blob/master/Char-RNN.ipynb). Original code by @karpathy
+- [Deep-Q Reinforcement learning to play Atari games](https://github.com/soumith/cvpr2015/blob/master/DQN Training iTorch.ipynb)
+
## Location
- **Date and Time: Sunday 7th June, 2015. 0830-1230 (Half Day — Morning)**