You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This explains how to make a regressive network from a few simple examples. By taking what one might call a polyhedron of angles of the object, the source picture behaves as a thesaurus of the standing class of the object. Thus, it should be easily recalled by a TensorFlow AI.
https://www.dropbox.com/s/wa6chu5qs97a49a/ad-pulse-ai_v3.pdf?dl=0
This explains how to make a regressive network from a few simple examples. By taking what one might call a polyhedron of angles of the object, the source picture behaves as a thesaurus of the standing class of the object. Thus, it should be easily recalled by a TensorFlow AI.
This is my self-written AI. I just don't have access to the pictures like in need in the paper.
https://github.com/wise-penny/LIDSx
The text was updated successfully, but these errors were encountered: