Convolutional Neural Net Deep Dive

 This is a great lecture by Sander Dieleman of DeepMind on Convolutional Neural Networks for Image Recognition.  He first explains how CNN's work, then dives into a very detailed analysis of the CNN image recognition various architectures of the last 10 years.  

So we'll explore AlexNet, VGG, ResNet in detail, with an explanation of all of their modular components.

Let's check it out.


Popular posts from this blog

CycleGAN: a GAN architecture for learning unpaired image to image transformations

Pix2Pix: a GAN architecture for image to image transformation

Smart Fabrics