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Here is the course description.
Remember, this is a great tutorial on python / numpy!
General notes on ipython and seaborn
Lab 1 - Anaconda and playground screenshot
Lab 2 - Perceptron
Lab 3 - Sigmoid derivative
Lab 4 - Automatic differentiation
Lab 5 - Tensorflow image classifier
Lab 6 - Optimization zoo 1
Lab 7 - Optimization zoo 2
Lab 8 - Feature zoo 1
Lab 9 - Feature zoo 2
Lab 10 - RNNs, LSTMs, GRUs
Lab 11 - Generative adversarial networks
Lab 12 - Deep RL
Lab 13 - Inceptionism
Lab 14 - Variational autoencoder
Lab 15 - Highway nets and resnets
Final project