Friday, October 07, 2016

Course: Stat212b: Topics Course on Deep Learning by Joan Bruna, UC Berkeley, Stats Department. Spring 2016.

Joan Bruna released the detailed syllabus and lectures of his recent Stat212b: Topics Course on Deep Learning that he did at UC Berkeley in the Statistics Department during the Spring 2016. From the page:

Topics in Deep Learning

This topics course aims to present the mathematical, statistical and computational challenges of building stable representations for high-dimensional data, such as images, text and audio. We will delve into selected topics of Deep Learning, discussing recent models from both supervised and unsupervised learning. Special emphasis will be on convolutional architectures, invariance learning, unsupervised learning and non-convex optimization.

Detailed Syllabus and Lectures

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