Abstract: Artificial neural networks have led to a higher computational burden, complicating inference tasks on low-power edge devices. Spiking neural network (SNN), which leverages sparse spikes for ...
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...
Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.
This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Abstract: This study introduces a novel strategy for waste segregation employing Convolutional Neural Networks (CNNs) and Python programming. By harnessing CNNs’ image feature extraction capabilities, ...