Computer Vision and Deep Learning Tutorials
Straight-to-the-point computer vision and deep learning explanations. Written by me.
Future ideas: Variational Autoencoders, Miscellaneous Optimization methods (dropout, batch normalization, data augmentation, L2 regularization) Disentangled Autoencoders, Capsule Networks. Topics in red I still need to read up on.
Advanced deep generative models
Generative Adversarial Networks
Autoencoders
Object Detection
Convolutional Neural Nets
Activation Functions