Deep Learning with Yacine 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 ...
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

NeuroSketch: Bloom Filter-Based Sketch for Accurate Network Measurement via Neural Networks

Abstract: In network measurement, learning-based sketch is a hot topic recently, which combines traditional sketches with machine learning techniques to improve the accuracy of sketches, while ...
IEEE

Energy-Efficient Brain-Inspired Self-Attention-Spiking Neural Network Framework for Mix-Type Wafer Defect Recognition

Abstract: In semiconductor manufacturing, wafer defect recognition plays a critical role. As the technology advances and wafer feature sizes decrease, defect detection has become more challenging, ...
Frontiers

Intelligent pavement moduli back-calculation using an SEM–Transformer framework

The final, formatted version of the article will be published soon. This study proposes an intelligent back-calculation framework for accurately estimating the elastic moduli of multilayer pavements ...