This post looks at some of the methods used for Image Segmentation
This post provides an explanation of Binarized Neural Networks, a low memory and computationally cheap architecture perfect for very small devices.
Image to Image translation using BicycleGANs.
This post provides an overview of the two most common generative models: GANs and VAEs.
A complete guide on how to start off with Deep Learning
This post provides an overview of Auto-Regressive Generative Models such as PixelRNN and PixelCNN++.