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A Boolean Logic Network library for learning boolean functions on GPUs with gradient descent.

The working prototype is implemented in Wolfram. The production library is implemented in Python.

Questions? Ask @Z80coder

Neural logic nets

• Neural logic nets for differentiable QL (30m)
• Boolean logic nets and MNIST (18m)

• The Soft-NOT operator (10m)
• The Soft-AND operator (10m)
• The differentiable Hard-AND operator (17m)
• The differentiable Hard-OR operator (5m)
• The differentiable Hard-MAJORITY operator (13m)
• The hardening layer (11m)
• The hardening operation (19m)
• A classifier architecture (20m)
• Neural logic nets (15m)
• Learning XOR (parity) (10m)
• Numerical regression (23m)
• If-Then-Else neuron (23m)
• Neural conditions and actions (24m)
• Neural decision lists (15m)
• Boolean logic nets and MNIST (18m)

More to come!