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Showing posts from January, 2017

Deep learning resources and notes

This is a directory of deep learning resources that I have been following, and putting here for personal reference. If you have a recommendation, feel free to leave a comment.

Convolutional networks
https://adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/ - Part 1
https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2/ - Part 2

Neural network book
[TODO] http://neuralnetworksanddeeplearning.com/index.html

MXNet
NDArray tutorial - http://mxnet.io/tutorials/python/ndarray.html
Handwritten digits recognition - http://mxnet.io/tutorials/python/mnist.html[TODO] Full list of tutorials here: http://mxnet.io/tutorials/index.html

LSTM
Understanding LSTM Networkshttp://colah.github.io/posts/2015-08-Understanding-LSTMs/

Neural network visualization
Video - https://www.youtube.com/watch?v=AgkfIQ4IGaM

== Definitions ==Lower and higher layers: The layers which are near the input are …