Lecture 0: Tomaso Poggio - Introduction to Brains, Minds, and Machines
01. It is time for a theory of deep learning. Tomaso Poggio
Tomaso Poggio (MIT) - Thoughts on today’s learning theory
William E. Kirwan Distinguished Undergraduate Lectures - Tomaso Poggio
Lecture 9.1: Tomaso Poggio - iTheory: Visual Cortex & Deep Networks
Circuits for Intelligence (Tomaso Poggio)
ECE 804 - Spring 2013 - Lecture 006 with Tomaso Poggio
Tomaso Poggio: McGovern Institute Investigator
Tomaso Poggio - Deep Puzzles
Panel Discussion on the relationship between engineering and science in CBMM and the field
MOX Colloquia: Tomaso Poggio, 15th January 2024
2012 - Master Class - Prof. Tomaso Poggio
MBZUAI AI Quorum - SlowDNN - Tomaso Poggio
Keynote Panel: Why is it Time to Try Again? A Look to the Future
BMM Virtual Summer Course 2020 Introduction
M-theory
Stability of overparametrized learning models
Deep Learning and the Brain 2019 – Prof. Tomaso Poggio, MIT
“The Computational Magic of Pattern Recognition in Cortex: (…)” Dr. Tomaso Poggio (ICPRAM 2013)
The Marketplace for Intelligence
A Theoretical Framework for Deep Learning Networks
Compositional sparsity and learnability
Tomaso Poggio - Deep learning: Solving the Approximation, Optimization and Generalization Puzzles
Class 01 - The Course at a Glance
A Theoretical Framework for Deep Learning
