Merge branch 'master' of https://github.com/chasingbob/deep-learning-resources

Author: chasingbob

README.md

@@ -21,8 +21,18 @@ The fast.ai team (Jeremy Howard & Rachel Thomas) promises to take you to the coo
 
 
 ## Tutorials & Articles
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+You know when [Chris Olah](https://twitter.com/ch402) is involved it will be brilliant - one of the best posts on visualising how Neural Networks learn to see around.
+
+* [Feature Visualization - How neural networks build up their understanding of images](https://distill.pub/2017/feature-visualization/)
+
+
+[Image Kernels - Explained visually](http://setosa.io/ev/image-kernels/)
+
 [Preprocessing data](http://scikit-learn.org/stable/modules/preprocessing.html)
 
+[How to setup your Windows 10 machine for Machine Learning using Ubuntu Bash shell](https://medium.com/@dries139/how-to-setup-your-windows-10-machine-for-machine-learning-using-ubuntu-bash-shell-b32f01bd31ab)
+
 [Deep Learning - a gentle dive](https://becominghuman.ai/deep-learning-a-gentle-dive-92054e39bd8)
 
 [A 'Brief' History of Neural Nets and Deep Learning (4 parts)](http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/)
@@ -50,6 +60,8 @@ Recurrent Neural Networks
 
 * [The Unreasonable Effectiveness of Recurrent Neural Networks ~Andrej Karpathy](http://karpathy.github.io/2015/05/21/rnn-effectiveness/)
 
+* [YouTube: Recurrent Neural Networks (RNN) and and Long Short-Term Memory (LSTM)](https://www.youtube.com/watch?v=WCUNPb-5EYI&index=15&list=WL)
+
 
 [A Few Useful Things to Know about Machine Learning ~Pedro Domingos](http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf)