Notes on All Things Machine Learning and Mathematics

Deep Learning for Computer Vision

Neural Net Basics

kNN, Linear Models, SVMs

CNN Architectures

Image Detection

Image Captioning with LSTMs

Segmentation & Attention

Practical Advice for Working with Images

Unsupervised Approaches, GANs and VAEs

Working with Videos

Visualization, Deep Dream, Style Transfer