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

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Summer 2015
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