Opinion

Context Monsters And Dropout Layers: The Job Market As A Neural Net

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
TMCnet

SEOULTECH Researchers Develop VFF-Net, A Revolutionary Alternative to Backpropagation That Transforms AI Training

The proposed algorithm applies the concept of forward-forward network to CNNs, avoiding away traditional back-propagation and its limitations SEOUL, South Korea, Oct. 16, 2025 /PRNewswire/ -- Deep ...
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

An Improved Backpropagation Neural Network Method for Characterizing Performance Degradation of LDMOS Device Under Transmission Line Pulse Interference

Abstract: With the wide applications of Lateral Diffused Metal-Oxide-Semiconductor (LDMOS) transistors in power conversion systems, their reliability has become a growing concern. It is also well ...
IEEE

Dynamic Control of Isolated Network Microgrids: A Resilient Backpropagation Neural Network-Based Virtual Inertia Control Approach

Abstract: In isolated networked microgrid with high penetration of solar and wind-based generation, maintaining system stability and achieving optimal dynamic performance poses significant challenges ...