Stochastic Optimization and Automatic Differentiation for Machine Learning (Spring 2018)

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
00-Introduction_Python_numpy.ipynb		00-Introduction_Python_numpy.ipynb
01-gradient_descent.ipynb		01-gradient_descent.ipynb
02-stochastic_gradient_descent.ipynb		02-stochastic_gradient_descent.ipynb
03-SAGA_algorithm.ipynb		03-SAGA_algorithm.ipynb
04-SVRG_algorithm.ipynb		04-SVRG_algorithm.ipynb
05-ADMM.ipynb		05-ADMM.ipynb
06-Asynchronous_methods.ipynb		06-Asynchronous_methods.ipynb
07-Automatic_differentiation.ipynb		07-Automatic_differentiation.ipynb
ADMM_algorithm.png		ADMM_algorithm.png
ADMM_problem.png		ADMM_problem.png
README.md		README.md
async.png		async.png
csr_storage_sparse_marix.png		csr_storage_sparse_marix.png
data_mnist.py		data_mnist.py
tomography.png		tomography.png

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