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's-Guide-To-Understanding-Convolutional-Neural-Networks/ - Part 1's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2/ - Part 2

Neural network book

NDArray tutorial -
Handwritten digits recognition -[TODO] Full list of tutorials here:

Understanding LSTM Networks

Neural network visualization
Video -

== Definitions ==

Lower and higher layers: The layers which are near the input are called lower layers. The higher layers are near the output. Ref.

== Research papers ==

Linguistic Regularities in Continuous Space Word Representations -

Exploiting Similarities among Languages for Machine Translation -

GAN (Generative Adversarial Networks) -

== Others ==

Building bots with AWS Lex 
Part 1:
Part 2:


  1. Hi, here are a couple of deep learning articles I've created that may be of interest: - this one is a really comprehensive introduction to building neural networks in Python. - this one is a gentle introduction to TensorFlow deep learning in Python also.

    1. Thanks Andrew for sharing the links. Very detailed.


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