Posts

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 Networks -  http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Neural network visualization Video - https://www.youtube.com/watch?v=AgkfIQ4IGaM == Definitions == Lower and higher laye...