Deep Learning with Yacine on MSN

Digit Recognition With Deep Learning — PyTorch Beginner Project

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
EE World Online

How does deep learning actually work?

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
Analytics Insight

Best Books to Master Computer Vision and Deep Learning in 2025

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical code examples for real-world applicati ...
IEEE

Transforming Pneumonia Classification through Deep Learning: A CNN-Based Approach to Enhance Accuracy and Efficiency

Abstract: In a world where timely and accurate diagnosis of pneumonia is paramount, the advent of deep learning and computer vision technologies presents a transformative opportunity. Pneumonia ...
IEEE

Intelligent Air Pollution Forecasting: A Deep Learning Approach with 1D-CNN and Kookaburra Optimization

Abstract: Air quality prediction is essential for environmental monitoring and reducing air pollution's health effects. Machine learning and deep learning models like 1D-CNN can forecast future air ...
IEEE

Optimized CNN-Based Deep Learning for ECG Signal Classification in IoT Healthcare Monitoring Systems

Abstract: The suggested technique improves ECG signal categorization by combining Particle Swarm Optimization (PSO) with Convolutional Neural Networks (CNN). Extracting features and categorization are ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
IEEE

Deep Learning for Channel Code Type Recognition

Abstract: Channel code type recognition is critical for enabling receivers to discern codes without prior knowledge. Despite the promise of deep learning approaches in this field, they often encounter ...