Deep Internal Learning - Deep Learning with Zero Examples

Explore the concept of Deep Internal Learning in this lecture from the Simons Institute's workshop on Decoding Communication in Non-Human Species. Delve into the innovative approach of learning from zero examples, as presented by Michal Irani from the Weizmann Institute. Discover how this technique can be applied to various fields, including super resolution, image segmentation, and even mind reading. Examine the differences between internal and external training methods, and analyze their respective results. Learn about the downscaling kernel, GAN applications, and the Deep Image Prior. Gain insights into how these advanced machine learning techniques can be utilized to decode communication in non-human animal and plant life, potentially revolutionizing our understanding and protection of diverse species on our planet.

Introduction
What is Deep Internal Learning
How can we learn
The two approaches
Super Resolution
ZeroShot CSSR
Internal vs External Training
Internal vs External Results
Downscaling Kernel
GAN
Results
Deep Image Prior
Image Segmentation
Mind Reading
Result
Questions