Yann LeCun @EPFL - "Self-supervised learning: could machines learn like humans?"
Le 10-10-2018

Conference by Yann LeCun, computer scientist working in machine learning, computer vision, mobile robotics and computational neuroscience, who sees self-supervised learning as a potential solution for problems in reinforcement learning, as it has the advantage of taking both input and output as part of a complete system, making it effective for example in image completing, image transferring, time sequence data prediction, etc.

While the model’s complexity increases with the addition of feedback information, self-supervised learning models significantly reduce human involvement in the process.

Voir la société


Copyright © 2001 - 2019 Inter Group News All Rights Reserved