Practical Boolean Backpropagation

Simon Golbert

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arXiv · 2505.03791

Practical Boolean Backpropagation

Simon Golbert

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Abstract

Boolean neural networks offer hardware-efficient alternatives to real-valued models. While quantization is common, purely Boolean training remains underexplored. We present a practical method for purely Boolean backpropagation for networks based on a single specific gate we chose, operating directly in Boolean algebra involving no numerics. Initial experiments confirm its feasibility.

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Simon Golbert. 2025-05-01. Practical Boolean Backpropagation. https://arxiv.org/abs/2505.03791

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