So during the forward propagation through the neural networks, the weights get updated to the corresponding layers and the XOR logic gets executed. The Neural network architecture to solve the XOR ...

Describe how the neural network architecture is tailored to implement the XOR gate logic. Discuss how the combination of NOR and AND gates in the hidden layer leads to XOR functionality. we have two ...

With the ever-growing workload of supporting every Neural Architecture on every ASIC, Arch-Net can be used to reduce this complexity by using a Blockwise Model Distillation method. This greatly ...

This paper propose a model for the complexity of Boolean functions with only XOR/XNOR min-terms using back propagation neural networks (BPNNs) applied to binary decision diagrams (BDDs). The developed ...

This work presents an analog model for a cellular membrane of a neuron as well as its mathematical analysis. The simple model of a spiking neuron from Izhikevich is used to design two neural ...