Deep Learning Resources

From: Samarth Tripathi <[email protected]>
Date: Tue, 26 Sep 2017 19:01:19 -0400

You had asked me to share the literature on DL based CV, this is a broad list which covers most topics to start with on the projects.

In-Depth Course in Deep Learning based Computer Vision CS231 at Stanford taught by Andrej Karpathy with youtube link to lectures http://cs231n.stanford.edu/syllabus.html

CNN architectures – 

• Simple but Powerful – VGG by Oxford, https://arxiv.org/pdf/1409.1556.pdf
• Better – Inception net by Google, https://arxiv.org/pdf/1512.00567.pdf
• Very Deep and more powerful – Resnet by Microsoft Research – https://arxiv.org/pdf/1512.03385.pdf
• State-of-the-art – Densenet by MIT – https://arxiv.org/pdf/1608.06993.pdf
• Fast Object Detection – YOLO 2 MsR – https://arxiv.org/pdf/1612.08242.pdf

RNN tutorials – 

• Karpathy blog about RNNs http://karpathy.github.io/2015/05/21/rnn-effectiveness/
• LSTM tutorial blog  http://colah.github.io/posts/2015-08-Understanding-LSTMs/