Miles Mathis' Charge Field
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Post by Cr6 Sun Aug 13, 2017 12:10 am


Java based - DL4J Deeplearning 4J

https://deeplearning4j.org/mnist-for-beginners
https://deeplearning4j.org/quickstart#

Might be useful at some point to just run DL algorithms on Mathis' structures/Nevyn's diagrams of the periodic table and molecules.
This looks like a pretty good library to work with. The MNIST categorization demonstrates this categorization is possible as more pictures of molecules are put online. Basically, if we can get enough shapes of Mathis' Charge Field formed elements...we can map them to the pics?

https://www.theatlantic.com/technology/archive/2013/06/amazingly-actual-molecules-look-just-like-high-school-textbook-drawings/276480/
https://petapixel.com/2013/05/31/scientists-take-amazing-high-res-photos-of-molecules-forming-chemical-bonds/
Java based - DL4J Deeplearning 4J  Moleculeimage2

Although the initial experiment was a bust, the pictures the group got (seen above) are nothing short of astounding. It turns out the people who came up with the drawings in your Chemistry book were right on the money.

The technique they used to capture these stunning images is called Non-Contact Atomic Force Microscopy. The microscope has a single Oxygen atom at the tip of a tiny “needle.” This needle is then run over a sample, moving ever so slightly every time it passes over a molecule or bond. A laser beam is used to determine how much the needle moved, and a picture is formed based on that info.

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Post by Cr6 Sun Aug 13, 2017 12:31 am


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