HTC Seminar Series #35: High-Dimensional Learning and Deep Neural Networks

This is a Turing Lecture by Stephane Mallat presented at the Alan Turing Institute in 2016.


1:  Learning invariance to deformation.

2:  Classification of stationary textures.

3:  Multi-scale separation.

4: The role of channel connections in building invariance in CNN.


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