tutorials

3 files changed, 23 insertions, 47 deletions

diff --git a/docs/02-developer-docs.md b/docs/02-developer-docs.md
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@@ -4,7 +4,7 @@ title: Developer Documentation
 layout: docs
 permalink: /docs/developer-docs.html
 previous: package-docs.html
-next: cvpr15.html
+next: tutorials.html
 ---
 
 Writing your own nn modules
diff --git a/docs/cvpr15.md b/docs/cvpr15.md
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----
-id: cvpr15
-title: Applied Deep Learning for Computer Vision with Torch
-layout: cvpr
-permalink: /docs/cvpr15.html
-prev: getting-started.html
----
-
-###Slides and EC2 Image
-- [Slides](https://github.com/soumith/cvpr2015/blob/master/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)**
-- **Location:** Room 200
-
-##Schedule
-
-- A candid introduction to Torch. The philosophy and simplistic design.
-- Neural Networks Package: a gentle introduction. Hands-on-tutorial using itorch notebooks.
-- Optimization Package: an introduction
-- Detection using existing pre-trained models (such as googlenet). Fine-tuning on new problems.
-- The future of Torch: An Open Discussion
-
-##Audience
-####Beginner:
-The audience requires no knowledge of torch, or deep learning.
-
-**Everyone will be given access to a GPU-powered itorch notebook** (running via the web browser on Amazon EC2) with Do-it-yourself tutorials.
-There will be a walkthrough of the code and tutorials, which can be done at your own pace.
-
-####Advanced:
-If you are familiar with Torch, join us for an open discussion on the current and future developments of Torch.
-
-##Organizers
-- Soumith Chintala
-- Koray Kavukcuoglu 
-
diff --git a/docs/tutorials.md b/docs/tutorials.md
new file mode 100644
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+---
+id: tutorials
+title: Tutorials for learning Torch
+layout: cvpr
+permalink: /docs/tutorials.html
+prev: getting-started.html
+---
+
+###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)
+
+### Video Tutorials
+* [An introduction to Torch. Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard](http://on-demand.gputechconf.com/gtc/2015/webinar/torch7-applied-deep-learning-for-vision-natural-language.mp4)
+
+###Slides and EC2 Image
+- [Slides](https://github.com/soumith/cvpr2015/blob/master/cvpr-torch.pdf)
+
+