ML Reading Group

This is a repository and link page for the Summer 2018 Machine Learning reading group

Graphical representation of network ML methods

Cool Tensorflow applet showing network structure, parameter estimates, and performance during model training

Nice video on choosing learning rate for DNNs in the context of stochastic gradient descent

Basic description and visualization of some elements of convolutional neural networks

Deep visualization toolbox to visualize feature detection layers

Understanding DNN optimization from an information theoretic perspective