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
demo1.mp4
- 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!