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cs501r_f2016 [2016/11/09 18:30]
wingated
cs501r_f2016 [2021/06/30 23:42]
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-====CS501r, Fall 2016 - Deep Learning: Theory and Practice==== 
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-[[cs501r_f2016:​desc|Here is the course description.]] 
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-[[http://​cs231n.github.io/​python-numpy-tutorial/​|Remember,​ this is a great tutorial on python / numpy!]] 
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-[[cs501r_f2016:​openlabtf|Some instructions for getting Tensorflow to run on the CS open labs]] 
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-[[https://​www.dropbox.com/​sh/​aox63ppfd14hf7b/​AABGgv56Q98ikk5I8I4bNbO3a?​dl=0|All of the slides are posted on Dropbox here]] 
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----- 
-=== Labs === 
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-[[cs501r_f2016:​lab_notes|General notes on ipython and seaborn]] 
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-[[cs501r_f2016:​lab1|Lab 1 - Anaconda and playground screenshot]] 
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-[[cs501r_f2016:​lab2|Lab 2 - Perceptron]] 
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-[[cs501r_f2016:​lab3|Lab 3 - Basic gradient descent]] 
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-[[cs501r_f2016:​lab4|Lab 4 - Automatic differentiation]] 
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-[[cs501r_f2016:​lab5|Lab 5 - Tensorflow image classifier]] 
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-[[cs501r_f2016:​lab5b|Lab 5b - Convolutional Tensorflow image classifier and Tensorboard]] 
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-[[cs501r_f2016:​lab6|Lab 6 - Feature zoo 1]] 
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-[[cs501r_f2016:​lab7|Lab 7 - Generative adversarial networks]] 
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-[[cs501r_f2016:​lab10|Lab 8 - RNNs, LSTMs, GRUs]] 
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-[[cs501r_f2016:​lab9|Lab 9 - Siamese networks]] 
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-[[cs501r_f2016:​lab13|Lab 10 - Inceptionism / deep art]] 
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-[[cs501r_f2016:​fp|Final project]] 
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cs501r_f2016.txt ยท Last modified: 2021/06/30 23:42 (external edit)