Tomaso Poggio - Deep learning: Solving the Approximation, Optimization and Generalization Puzzles @SacklerColloquia
Tomaso Poggio - Deep learning: Solving the Approximation, Optimization and Generalization Puzzles  @SacklerColloquia
Uploaded April 2019 | Updated September 2026, 2 days ago
Tomaso Poggio, Massachusetts Institute of Technology
Deep learning: Solving the Approximation, Optimization and Generalization Puzzles

This talk was presented during the National Academy of Sciences Arthur M. Sackler Colloquium: The Science of Deep Learning in Washington D.C. March 13-14, 2019.

Organized by: David Donoho, Maithra Raghu, Ali Rahimi, Ben Recht and Matan Gavish
Tomaso Poggio - Deep learning: Solving the Approximation, Optimization and Generalization PuzzlesAnne Collins - Hierarchical reinforcement learning supports generalization24 Paul FerraroBob Wurtz: Introduction: From Basic Science to Clinical ApplicationCritical Perspective: What’s missing in today’s experimental analysis of DL?Kyle Cranmer - Experiences with deep learning in particle physicsBruce Hay: The next generation of gene drivesMichael E  Goldberg: Restoration of Motor Functions: Clinical Perspective23 Scott SternPanel: Drivers and considerations for federal / industry space investmentJennifer Doudna: Genome Editing with CRISPR-Cas Systems: Challenges and OpportunitiesAnita A  Disney: Species Differences in the Sub-Cortical Control of Cortical Processing
NAS Colloquia |

Tomaso Poggio - Deep learning: Solving the Approximation, Optimization and Generalization Puzzles

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