Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Abstract: Modern deep neural networks, particularly transformer architectures, have achieved unprecedented performance across various domains through sophisticated mathematical structures that remain ...

Abstract: Spiking Neural Networks (SNNs) are promising biologically plausible models of computation which utilize a spiking binary activation function similar to that of biological neurons. SNNs are ...