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cs501r_f2016 [2016/08/29 16:26]
admin
cs501r_f2016 [2021/06/30 23:42] (current)
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 [[cs501r_f2016:​desc|Here is the course description.]] [[cs501r_f2016:​desc|Here is the course description.]]
  
 +[[http://​cs231n.github.io/​python-numpy-tutorial/​|Remember,​ this is a great tutorial on python / numpy!]]
  
 +[[cs501r_f2016:​openlabtf|Some instructions for getting Tensorflow to run on the CS open labs]]
 +
 +[[https://​www.dropbox.com/​sh/​aox63ppfd14hf7b/​AABGgv56Q98ikk5I8I4bNbO3a?​dl=0|All of the slides are posted on Dropbox here]]
 +
 +----
 === Labs === === Labs ===
  
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 [[cs501r_f2016:​lab2|Lab 2 - Perceptron]] [[cs501r_f2016:​lab2|Lab 2 - Perceptron]]
  
-[[cs501r_f2016:​lab3|Lab 3 - Sigmoid derivative]]+[[cs501r_f2016:​lab3|Lab 3 - Basic gradient descent]]
  
 [[cs501r_f2016:​lab4|Lab 4 - Automatic differentiation]] [[cs501r_f2016:​lab4|Lab 4 - Automatic differentiation]]
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 [[cs501r_f2016:​lab5|Lab 5 - Tensorflow image classifier]] [[cs501r_f2016:​lab5|Lab 5 - Tensorflow image classifier]]
  
-[[cs501r_f2016:​lab6|Lab Optimization zoo 1]] +[[cs501r_f2016:​lab5b|Lab 5b Convolutional Tensorflow image classifier and Tensorboard]]
- +
-[[cs501r_f2016:​lab7|Lab 7 - Optimization zoo 2]] +
- +
-[[cs501r_f2016:​lab8|Lab 8 - Feature zoo 1]] +
- +
-[[cs501r_f2016:​lab9|Lab 9 - Feature zoo 2]]+
  
-[[cs501r_f2016:​lab10|Lab 10 RNNs, LSTMs, GRUs]]+[[cs501r_f2016:​lab6|Lab Feature zoo 1]]
  
-[[cs501r_f2016:​lab11|Lab 11 Tensor factorization]]+[[cs501r_f2016:​lab7|Lab Generative adversarial networks]]
  
-[[cs501r_f2016:​lab12|Lab 12 Deep RL]]+[[cs501r_f2016:​lab10|Lab RNNs, LSTMs, GRUs]]
  
-[[cs501r_f2016:​lab13|Lab 13 Inceptionism]]+[[cs501r_f2016:​lab9|Lab Siamese networks]]
  
-[[cs501r_f2016:​lab14|Lab 14 Variational autoencoder]]+[[cs501r_f2016:​lab13|Lab 10 Inceptionism / deep art]]
  
-[[cs501r_f2016:​lab15|Lab 15 - Highway nets and resnets]] 
  
 [[cs501r_f2016:​fp|Final project]] [[cs501r_f2016:​fp|Final project]]
  
  
cs501r_f2016.1472487970.txt.gz · Last modified: 2021/06/30 23:40 (external edit)