Lecture on Visualization, Deep Dream, Neural Style, and Adversarial examples

 2016 must have been a very good year when Andrej Karpathy taught Stanford CS231.  We're presenting his 2016 Lecture 9 on 'Visualization, Deep Dream, Neural Style, and Adversarial Examples'. Enjoy the points of view and varied expertise of different experts on deep learning like this one.


This lecture complements what we have been covering in the HTC course on Getting Started with Deep Learning, and i might move a copy of it directly into the HTC Lesson's Extra Material section somewhere (maybe as a replacement for RNN lecture this week or an extra thing to check out).

Comments

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