====CS501r, Fall 2018 - Deep Learning: Theory and Practice====

[[cs501r_f2016:desc|Here is the course description.]]

[[https://www.dropbox.com/sh/cuf3f6py5smk0wg/AACO4aoZaj05UsniFfxQL1gCa?dl=0|All of the slides are posted on Dropbox here]]

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=== Labs ===


[[cs501r_f2018:lab1|Lab 1 - Colab and playground screenshot]]

[[cs501r_f2018:lab2|Lab 2 - Get to know pytorch]]

[[cs501r_f2018:lab3|Lab 3 - Your first DNN]]

[[cs501r_f2018:lab4|Lab 4 - Cancer Detection]]

[[cs501r_f2018:lab5|Lab 5 - Style Transfer]]

[[cs501r_f2018:lab6 | Lab 6 - Unreasonable Effectiveness of RNNs]]

[[cs501r_f2018:lab7 | Lab 7 - Attention Is All You Need]]

[[cs501r_f2018:lab8 | Lab 8 - Improved Wasserstein GAN]]

[[cs501r_f2018:lab9 | Lab 9 - Deep RL & PPO]]

...More labs will be added here...

[[cs501r_f2016:fp|Final project]]


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=== Resources ===


[[https://pytorch.org/tutorials/|Pytorch tutorials]]

[[https://colab.research.google.com/drive/1TzaPS3jvRadN-URLbQ9nD1ZNoZktfNRy|A good colab tutorial notebook]]


[[supercomputer|A quick intro to deep learning on the supercomputer]]

[[googlecloud|A quick intro to deep learning on google cloud]]


[[http://cs231n.github.io/python-numpy-tutorial/|A great tutorial on python / numpy!]]


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=== Older stuff ===



[[cs501r_f2016:openlabtf|Some instructions for getting Tensorflow to run on the CS open labs]]

[[https://medium.com/xtrememl/why-how-to-use-windows-10-wsl-built-in-linux-for-machine-learning-6a225f4bbd3a|A nice tutorial on setting up wsl for machine learning]]

[[cs501r_f2016:lab_notes|General notes on ipython and seaborn]]