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cs501r_f2016 [2016/08/29 16:22]
admin
cs501r_f2016 [2016/10/10 15:46]
wingated
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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!]]
  
-=== Labs ===+[[cs501r_f2016:​openlabtf|Some instructions for getting Tensorflow to run on the CS open labs]]
  
-[[cs401r_w2016:lab_notes|General notes on ipython and seaborn]]+[[https://​www.dropbox.com/​sh/​aox63ppfd14hf7b/​AABGgv56Q98ikk5I8I4bNbO3a?​dl=0|All of the slides are posted ​on Dropbox here]]
  
-[[cs401r_w2016:​lab1|Lab 1 Anaconda and pandas]] +---- 
- +=== Labs ===
-[[cs401r_w2016:​lab2|Lab 2 Bayesian concept learning]]+
  
-[[cs401r_w2016:lab5|Lab 3 - MNIST with KDE]]+[[cs501r_f2016:lab_notes|General notes on ipython and seaborn]]
  
-[[cs401r_w2016:lab4|Lab Gaussian process regression]]+[[cs501r_f2016:lab1|Lab Anaconda and playground screenshot]]
  
-[[cs401r_w2016:lab14|Lab Large-scale Gaussian process regression]]+[[cs501r_f2016:lab2|Lab Perceptron]]
  
-[[cs401r_w2016:lab13|Lab Expectation maximization]]+[[cs501r_f2016:lab3|Lab Basic gradient descent]]
  
-[[cs401r_w2016:lab7|Lab Kalman filter]]+[[cs501r_f2016:lab4|Lab Automatic differentiation]]
  
-[[cs401r_w2016:lab8|Lab Localization with particle filters]]+[[cs501r_f2016:lab5|Lab Tensorflow image classifier]]
  
-[[cs401r_w2016:lab9|Lab LDA, General Conference, ​and Gibbs sampling]]+[[cs501r_f2016:lab5b|Lab 5b Convolutional Tensorflow image classifier ​and Tensorboard]]
  
-[[cs401r_w2016:lab10|Lab 10 Metropolis Hastings and Hamiltonian MCMC]]+[[cs501r_f2016:lab6|Lab Feature zoo 1]]
  
-[[cs401r_w2016:lab12|Lab 11 Recommender system]]+[[cs501r_f2016:lab7|Lab Generative adversarial networks]]
  
-[[cs401r_w2016:fp|Final project]]+[[cs501r_f2016:lab10|Lab 8 - RNNs, LSTMs, GRUs]]
  
-----------------+[[cs501r_f2016:​lab12|Lab 9 Deep RL]]
  
-Old labs we probably won't use+[[cs501r_f2016:​lab13|Lab 10 - Inceptionism / deep art]]
  
-[[cs401r_w2016:​lab3|Lab 3 - basic PDF library]] 
  
-[[cs401r_w2016:lab11|Lab 11 - Bayesian super resolution]]+[[cs501r_f2016:fp|Final project]]
  
  
cs501r_f2016.txt · Last modified: 2021/06/30 23:42 (external edit)