RES.9-003 | Summer 2015 | Graduate

Brains, Minds and Machines Summer Course

Unit 9. Theory of Intelligence

Lecture 9.2: Haim Sompolinsky - Sensory Representations in Deep Networks

Description: Analysis of common properties of sensory representations in deep cortex-like architectures, toward a systematic theoretical understanding of the capacity and limitations of deep learning networks.

Instructor: Haim Sompolinsky

No slides are provided for this session.

Course Info

As Taught In
Summer 2015