Lecture 9.1: Tomaso Poggio - iTheory: Visual Cortex & Deep Networks
Tomaso Poggio - Science and Engineering of Intelligence
01. It is time for a theory of deep learning. Tomaso Poggio
Tomaso Poggio: McGovern Institute Investigator
Tomaso Poggio (MIT) - Thoughts on today’s learning theory
Lecture 0: Tomaso Poggio - Introduction to Brains, Minds, and Machines
William E. Kirwan Distinguished Undergraduate Lectures - Tomaso Poggio
Tomaso Poggio - Introduction to the history of face identification research
MBZUAI AI Quorum - SlowDNN - Tomaso Poggio
Tomaso Poggio - Dynamics and Generalization in Deep Neural Networks
Introduction to the BMM Summer Course Virtual 2020 - Trimmed
“The Computational Magic of Pattern Recognition in Cortex: (…)” Dr. Tomaso Poggio (ICPRAM 2013)
Panel Discussion on the relationship between engineering and science in CBMM and the field
CBMM10: Welcome
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt1
9.520 - 09/14/2015 - Class 02 - Prof. Tomaso Poggio: The Learning Problem and Regularization
9.520 - 12/2/2015 - Class 24 - Prof. Tomaso Poggio: Learning Data Representation: Deep Theory I
Lecture 5.2: Andrei Barbu - From Language to Vision and Back Again
Tomaso Poggio WAIC 2021 World Artificial Intelligence Conference Talk
Dynamics and Generalization in deep neural networks
5/29/14 Theories for Intelligence - Tomaso Poggio: Learning as the Prototypical Inverse Problem
The computational magic of the ventral stream: Towards a theory
5/29/14 Tomaso Poggio, Introduction, Summer Course on Brains, Minds and Machines
2012 - Tomorrow's Science - Professor Tomaso Poggio
CBMM Panel Discussion: Is the theory of Deep Learning relevant to applications?
