leamoon/StochasticNet

Nerual Network of Stochastic Computing for MNIST Recognition

28
/ 100
Experimental

Implements LeNet-5 architecture using stochastic computing instead of full-precision arithmetic, reducing circuit complexity for a Minecraft redstone CNN that recognizes 15×15 handwritten digits with 80% accuracy. Stochastic encoding trades computation speed (~20 minutes per inference) for dramatically simpler physical layout compared to traditional digital logic. Demonstrates feasibility of probabilistic neural networks in resource-constrained environments, with potential applications to analog and neuromorphic hardware designs.

225 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 9 / 25

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Stars

225

Forks

11

Language

Python

License

MIT

Last pushed

Jul 01, 2022

Commits (30d)

0

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