Introduction to A Primer On Pac Bayesian Learning And Application To Deep Neural Networks
Welcome to our comprehensive guide on A Primer On Pac Bayesian Learning And Application To Deep Neural Networks. Seminar by Benjamin Guedj at the UCL Centre for AI. Recorded on the 16th June 2020. Abstract:
A Primer On Pac Bayesian Learning And Application To Deep Neural Networks Comprehensive Overview
A (condensed) Talk by Pascal Germain at NIPS 2012 Workshop Multi-trade-off in Machine Benjamin Guedj (2021), A (condensed)
Abstract: Karolina presents her recent work constructing generalization bounds in order to understand existing
Summary & Highlights for A Primer On Pac Bayesian Learning And Application To Deep Neural Networks
- ... of convex
- an
- Workshop on Theory of
- Neural networks
- Slides: https://1five9.github.io/slides/
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