cs501r_f2016
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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!]] | ||
| - | === 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 4 - Gaussian process regression]] | + | [[cs501r_f2016:lab1|Lab 1 - Anaconda and playground screenshot]] |
| - | [[cs401r_w2016:lab14|Lab 5 - Large-scale Gaussian process regression]] | + | [[cs501r_f2016:lab2|Lab 2 - Perceptron]] |
| - | [[cs401r_w2016:lab13|Lab 6 - Expectation maximization]] | + | [[cs501r_f2016:lab3|Lab 3 - Basic gradient descent]] |
| - | [[cs401r_w2016:lab7|Lab 7 - Kalman filter]] | + | [[cs501r_f2016:lab4|Lab 4 - Automatic differentiation]] |
| - | [[cs401r_w2016:lab8|Lab 8 - Localization with particle filters]] | + | [[cs501r_f2016:lab5|Lab 5 - Tensorflow image classifier]] |
| - | [[cs401r_w2016:lab9|Lab 9 - 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 6 - Feature zoo 1]] |
| - | [[cs401r_w2016:lab12|Lab 11 - Recommender system]] | + | [[cs501r_f2016:lab7|Lab 7 - Generative adversarial networks]] |
| - | [[cs401r_w2016:fp|Final project]] | + | [[cs501r_f2016:lab10|Lab 8 - RNNs, LSTMs, GRUs]] |
| - | ---------------- | + | [[cs501r_f2016:lab9|Lab 9 - Siamese networks]] |
| - | 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_f2016.1472487735.txt.gz · Last modified: 2021/06/30 23:40 (external edit)
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