AI Dynamics

Global AI News Aggregator

Explanation of backpropagation: max function implements NAND gates

This explanation was kind of polarising — some people found it pointlessly abstruse, others found it worked for them when others didn't: https://
thinc.ai/docs/backprop1
01
… If you get down to the bit with the two tables, it explains how a max function can implement nand, while a linear

→ View original post on X — @honnibal,

Commentaires

Leave a Reply

Your email address will not be published. Required fields are marked *