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Title: GitHub - Z80coder/db-nets: ∂B nets: learning discrete, boolean-valued functions by gradient descent · GitHub

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Description: ∂B nets: learning discrete, boolean-valued functions by gradient descent - Z80coder/db-nets

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https://github.com/Z80coder/db-nets#papers
Lossless hardening with ∂𝔹 netshttps://differentiable.xyz/papers/paper_21.pdf
"Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators"https://differentiable.xyz/papers
"∂B nets: learning discrete functions by gradient descent"https://arxiv.org/abs/2305.07315
https://github.com/Z80coder/db-nets#demos
Neural network research with the Wolfram languagehttps://youtu.be/FeIwI49AEgM?si=HCOAFOTLHmFmwOXn
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https://github.com/Z80coder/db-nets#prototype-development-snapshots
The Soft-NOT operatorhttps://drive.google.com/file/d/1z2WFpz4eWLb9xauRnIl6mSXhkbU-XR6X/view?usp=share_link
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Learning XOR (parity)https://drive.google.com/file/d/1I2H3iQjM7tNrG83DJFFngQZB_T8jM6uw/view?usp=share_link
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Boolean logic nets and MNISThttps://drive.google.com/file/d/12Rwx8H76UTNRdBK4WAwe_QeTWiGrbP-_/view?usp=share_link
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