Deep Learning with Yacine on MSN

Deep neural network from scratch in Python – fully connected feedforward tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Devdiscourse

Multi-agent AI boosts safety and transparency of self-driving cars in cities

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
IEEE

Understanding Error Propagation in Deep-Learning Neural Networks’ Accelerators and Applications

Abstract: Editor’s notes: This article reviews some of the first experiments on deep neural networks to analyze the propagation of soft errors from hardware to the ...
Deep Learning with Yacine on MSNOpinion

Local response normalization (LRN) in deep learning – simplified!

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
AviationPros

How AI and Deep Learning Enhances Airport Operations

Discover how AI and Deep Learning are revolutionizing airport operations, from jet bridge autonomy to baggage classification, solving complex challenges with advanced technology. Many of us are ...
Ars Technica

You can now download the source code that sparked the AI boom

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...
Scientific Research Publishing

Deep Learning and Smart Antennas for Beamforming Strategies ()

1 Energy, Materials, Modeling, Method Research Laboratory (E3M), University of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Douala, Douala, Cameroon. 3 National ...
Scientific Research Publishing

Xie, Z., & Wang, Y. (2022). Exploration of Stock Portfolio Investment Construction Using Deep Learning Neural Network. Computational Intelligence and Neuroscience, 2022 ...

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...
EurekAlert!

Transfer learning-enhanced physics-informed neural network (TLE-PINN): A breakthrough in melt pool prediction for laser melting

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...