My Research
This is a page where you can find my collected work. The most current work is at the top, followed by my similar work on Artificial intelligence logic. MNIST Score:, 12 wrong then almost 10 000 correct in a row, from zero training state.
My earlier work in physics which was wrong and incorrect is kept, for proof of work, basically, proof of things that didn't work. Which, actually becomes strong logic for a formal proof. If all my wrong attempts equal wrong... they are all the same thing.
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Outdated Frameworks:
These all had one thing in common. They were wrong, but they represent the work I took into attacking the problems.
Working out all these wrong problems became the source of my understanding for the logic that 1+1 =2 But 2 does not equal 1.
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Artificial Intelligence Research.
My own Custom Designed Neural Networks, and the idea of the Universal Approximator.
I will add a git hub repo for all of these neural nets and the source of images later.
Working on these problems for fun became the source of my knowledge of functional logic.
Tensor flow, pytorch and RNN research from approx 5 years ago.
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