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.


Observations

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.

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