Deep Learning with Yacine on MSN

Understanding forward propagation in neural networks with Python – step by step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
Deep Learning with Yacine on MSN

Learn backpropagation derivation step by step – neural networks made easy

Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute ...
GitHub

Simple Neural Network Models

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 ...
IEEE

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
IEEE

An Enhanced Diffractive Neural Network for Metasurface Holograms With High Resolution, Low Noise, and Uniform Intensity

Abstract: In this article, an enhanced diffractive neural network is proposed for achieving metasurface holograms with high resolution, low noise, and uniform intensity. First, we prove the ...