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[[http://cs231n.github.io/python-numpy-tutorial/|Remember, this is a great tutorial on python / numpy!]] | [[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]] | ||
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=== Labs === | === Labs === | ||
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[[cs501r_f2016:lab5|Lab 5 - Tensorflow image classifier]] | [[cs501r_f2016:lab5|Lab 5 - Tensorflow image classifier]] | ||
- | [[cs501r_f2016:lab6|Lab 6 - Optimization zoo 1]] | + | [[cs501r_f2016:lab5b|Lab 5b - Convolutional Tensorflow image classifier and Tensorboard]] |
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- | [[cs501r_f2016:lab7|Lab 7 - Optimization zoo 2]] | + | |
- | + | ||
- | [[cs501r_f2016:lab8|Lab 8 - Feature zoo 1]] | + | |
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- | [[cs501r_f2016:lab9|Lab 9 - Feature zoo 2]] | + | |
- | [[cs501r_f2016:lab10|Lab 10 - RNNs, LSTMs, GRUs]] | + | [[cs501r_f2016:lab6|Lab 6 - Feature zoo 1]] |
- | [[cs501r_f2016:lab11|Lab 11 - Generative adversarial networks]] | + | [[cs501r_f2016:lab7|Lab 7 - Generative adversarial networks]] |
- | [[cs501r_f2016:lab12|Lab 12 - Deep RL]] | + | [[cs501r_f2016:lab10|Lab 8 - RNNs, LSTMs, GRUs]] |
- | [[cs501r_f2016:lab13|Lab 13 - Inceptionism]] | + | [[cs501r_f2016:lab12|Lab 9 - Deep RL]] |
- | [[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]] | ||