Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms (University of Tabriz, Iran, 2017).

Contents

Week 06: Linear classification
Week 07: Implementing Loss functions (Softmax loss and SVM loss)
Week 08: Implementing gradient descent, Backpropagation and Artifitial Neural Networks (MLP)
Week 09: Advanced topics including dropout, batch normalization, weight initialization and other optimization methods(Adam, RMSProp)
Week 10: Inroduction to Deep Learning and implementing a Convolutional Neural Network (CNN) for image classification.

containing anything you need to learn and of course to use machine learning in real world applications:
http://wwww.snrazavi.ir/

Note: The materials of this workshop are inspired from awesome lectures presented by Andrej Karpathy at Stanford, 2016.