Boolean Variation and Boolean Logic BackPropagation
Van Minh Nguyen
The notion of variation is introduced for the Boolean set and based on which
Boolean logic backpropagation principle is developed. Using this concept, deep
models can be built with weights and activations being Boolean numbers and
operated with Boolean logic instead of real arithmetic. In particular, Boolean
deep models can be trained directly in the Boolean domain without latent
weights. No gradient but logic is synthesized and backpropagated through
layers.