Neural network (NN) accelerators based on resistive random access memory (ReRAM) have been widely investigated as a promising solution to address the memory wall challenge, due to its capability of ...

This paper analyzes the performance of two contemporary data-generating neural network-based workloads, Neural Style Transfer and Super Resolution GAN run on x86 hardware architecture. In ...

A complete, professional neural network implementation built entirely from scratch using only NumPy for MNIST digit classification. This project achieves 98.06% test accuracy with a clean, ...