Hosted on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
IEEE

A Deep Stochastic Adaptive Fourier Decomposition Network With Back-Propagation for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have shown impressive performance in hyperspectral image (HSI) classification. However, these deep learning methods still face two major challenges. One ...
techxplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
Live Science

What are neural processing units (NPUs) and why are they so important to modern computing?

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...
Frontiers

Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm

Introduction: Chinese medicine formulas (CMF) are an important aspect of traditional Chinese medicine (TCM) and are formulated based on strict compatibility proportions guided by TCM theory. Due to ...
Frontiers

Individual cardiorespiratory fitness exercise prescription for older adults based on a back-propagation neural network

1 Department of Sport Science Institute, Beijing Sport University, Beijing, China 2 Beijing Higher School Engineering Research Center of Sport Nutrition, Beijing Sport University, Beijing, China ...
IEEE

A hybrid genetic algorithm and back-propagation artificial neural network based simulation system for medical image reconstruction in noise-added magnetic resonance imaging data

Abstract: This paper presents, the performance of Genetic Algorithm (GA) applied on a Back-Propagation Artificial Neural Network (BP-ANN) initial weights optimization. The application system is ...