Machine Learning

Rescources for Neural Networks

• • machine learning cheatsheet https://stanford.edu/~shervine/teaching/cs-229/

• deep learning cheatsheet https://stanford.edu/~shervine/teaching/cs-230/

• lecture notes on CNN http://cs231n.github.io/

• videos on neural networks: https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

• run jupyter notebooks online, ML tutorials https://notebooks.azure.com/

• projects using deep learning for arts https://magenta.tensorflow.org/demos

• simple platform for trying out machine learning models https://runwayml.com

• What are the Hyperparameters of a NNet and how to tune them

• The vanishing gradient problem in NNets

• Understanding the Vanishing Gradient problem (video )

• Transfer Learning Tutorial

• Transfer Learning Tutorial (Simple with Example)

• Keras pre-trained models

• Understanding Loss Functions