GitHub

Event-Driven Spiking Neural Network Accelerator for FPGA

This project implements a complete event-driven spiking neural network (SNN) accelerator on FPGA with seamless PyTorch integration for training and deployment. The design uses Accumulate-only (AC) ...
IEEE

Generating Images Using Vanilla Generative Adversarial Networks

Abstract: In recent years, GANs have become substantial in computer vision. The goal of this paper is to explore the application of GANs for generating synthetic MNIST data and to compare the images ...
IEEE

Optimizing Convolutional Neural Network Hyperparameters for MNIST Image Classification ...

Abstract: The recognition of handwritten digits has been among the most enduring fundamental problems explored in the field of machine learning and computer vision. The objective of this work is to ...