A deep dive into the 'NoProp' algorithm that eliminates the need for Forward pass and Backpropagation to train neural networks, and learning to code it from scratch.
Oh hey I appreciate you looking at and liki.g my comment. Upon publishing I realized my LaTex embeddings were missing. I have added the ones I think I had in there. If you want to revisit the article for clarity it's under sect IV mathmatical and structural interpretation to give you a window into the application
I'm working on a patent for a novel a.i model. I just wrote an article about the concepts in employing. The article is not technical as I am working on the patent that explains the how, but if interested please read the article as it still has value in some novel concepts .
Oh hey I appreciate you looking at and liki.g my comment. Upon publishing I realized my LaTex embeddings were missing. I have added the ones I think I had in there. If you want to revisit the article for clarity it's under sect IV mathmatical and structural interpretation to give you a window into the application
I'm working on a patent for a novel a.i model. I just wrote an article about the concepts in employing. The article is not technical as I am working on the patent that explains the how, but if interested please read the article as it still has value in some novel concepts .
https://open.substack.com/pub/theeoutlier/p/semantic-resonance-and-fractal-scale?r=3nhnfp&utm_campaign=post&utm_medium=web