Projects
A small primer on Logic Gates Networks[RESEARCH PROJECT]
A logic gate network is a neural network which consists of logic gates in the form of neurons. A traditional neural network consist of the following component: neurons connections(weights) Every neuron has properties like bias and weights. During a NN training, these weights are learned and updated at every layer during back propagation. In a logic gate network, instead of having a 32 bit floating point weights, we have a network which is weightless.