Name		Name	Last commit message	Last commit date
datasets		datasets
images		images
libraries		libraries
01_what_is_machine_learning.ipynb		01_what_is_machine_learning.ipynb
02_bayes_theorem.ipynb		02_bayes_theorem.ipynb
03_naive_bayes.ipynb		03_naive_bayes.ipynb
03a_lobster.ipynb		03a_lobster.ipynb
04_graphical_models.ipynb		04_graphical_models.ipynb
05_markov_model.ipynb		05_markov_model.ipynb
06_shakespeare_simulator.ipynb		06_shakespeare_simulator.ipynb
07-HMMs-Wheeler.pptx		07-HMMs-Wheeler.pptx
08-HMMs2-Wheeler.pptx		08-HMMs2-Wheeler.pptx
09-KalmanFilter-Johnson.ipynb		09-KalmanFilter-Johnson.ipynb
09-robo_code.tar.gz		09-robo_code.tar.gz
10_expectation_maximization.ipynb		10_expectation_maximization.ipynb
11_linear_regression.ipynb		11_linear_regression.ipynb
12_principal_components_analysis.ipynb		12_principal_components_analysis.ipynb
13_Logistic Regression.ipynb		13_Logistic Regression.ipynb
14_softmax_regression.ipynb		14_softmax_regression.ipynb
15_multilayer_perceptron.ipynb		15_multilayer_perceptron.ipynb
16_stochastic_gradient_descent.ipynb		16_stochastic_gradient_descent.ipynb
17_convolutional_neural_networks.ipynb		17_convolutional_neural_networks.ipynb
18_variational_autoencoders.ipynb		18_variational_autoencoders.ipynb
README.md		README.md
decoder.h5		decoder.h5
encoder.h5		encoder.h5
lec_wk03.pdf		lec_wk03.pdf
mnist_keras_conv.py		mnist_keras_conv.py
mnist_tf.py		mnist_tf.py
predicter.h5		predicter.h5

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Lecture_Notes

Course lecture notes

Course lecture notes

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