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cs501r_f2018 [2018/11/09 21:30]
wingated
cs501r_f2018 [2021/06/30 23:42]
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-====CS501r, Fall 2018 - Deep Learning: Theory and Practice==== 
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-[[cs501r_f2016:​desc|Here is the course description.]] 
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-[[https://​www.dropbox.com/​sh/​cuf3f6py5smk0wg/​AACO4aoZaj05UsniFfxQL1gCa?​dl=0|All of the slides are posted on Dropbox here]] 
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----- 
-=== Labs === 
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-[[cs501r_f2018:​lab1|Lab 1 - Colab and playground screenshot]] 
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-[[cs501r_f2018:​lab2|Lab 2 - Get to know pytorch]] 
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-[[cs501r_f2018:​lab3|Lab 3 - Your first DNN]] 
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-[[cs501r_f2018:​lab4|Lab 4 - Cancer Detection]] 
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-[[cs501r_f2018:​lab5|Lab 5 - Style Transfer]] 
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-[[cs501r_f2018:​lab6 | Lab 6 - Unreasonable Effectiveness of RNNs]] 
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-[[cs501r_f2018:​lab7 | Lab 7 - Attention Is All You Need]] 
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-[[cs501r_f2018:​lab8 | Lab 8 - Improved Wasserstein GAN]] 
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-[[cs501r_f2018:​lab9 | Lab 9 - Deep RL & PPO]] 
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-...More labs will be added here... 
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-[[cs501r_f2016:​fp|Final project]] 
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----- 
-=== Resources === 
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-[[https://​pytorch.org/​tutorials/​|Pytorch tutorials]] 
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-[[https://​colab.research.google.com/​drive/​1TzaPS3jvRadN-URLbQ9nD1ZNoZktfNRy|A good colab tutorial notebook]] 
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-[[supercomputer|A quick intro to deep learning on the supercomputer]] 
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-[[googlecloud|A quick intro to deep learning on google cloud]] 
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-[[http://​cs231n.github.io/​python-numpy-tutorial/​|A great tutorial on python / numpy!]] 
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----- 
-=== Older stuff === 
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-[[cs501r_f2016:​openlabtf|Some instructions for getting Tensorflow to run on the CS open labs]] 
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-[[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]] 
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-[[cs501r_f2016:​lab_notes|General notes on ipython and seaborn]] 
  
cs501r_f2018.txt ยท Last modified: 2021/06/30 23:42 (external edit)