Melina González Méndez·Oct 24Clasificación de familiar de caracoles con redes neuronales convolucionales: Comparando ResNet50 y…Introducción:
Wahyuni·Oct 22Review Jurnal: Analisis Perbandingan Kinerja Model ResNet50 dan EfficientNet-B0 dalam Klasifikasi…1. Identitas Artikel
Romaisa Malik·Jul 25YOLOv8: The Real-Time Object Detection Model That Redefined Computer VisionArtificial Intelligence (AI) has transformed the way machines perceive and interpret visual information. Among its many branches, Computer…
Romaisa Malik·Jul 24DenseNet: The CNN That Changed Deep Learning Through Feature Reuse“What if every layer in a neural network could learn from every layer before it instead of only the previous one?”
Hamid Majeed·Jul 24Understanding ResNet-50: The Architecture That Solved the Deep Network WallHow skip connections and residual learning revolutionized computer vision and made 50+ layer networks possible.
LL-Monkey·May 13Brushstrokes and Bytes: Experimenting with Fine-tuned ResNet50 on Classifying Artwork ImagesIn the digital age, museums are more than just physical spaces; they are massive datasets of human creations. But can a computer…
Anshuman Patil·Apr 15Performance Comparison of Transfer Learning Models for Crop Disease Detection using the…By Anshuman Patil, TY BTech CSE student, MIT-WPU, Pune.
Vizuara AI·Mar 30A Brief History of Computer VisionThe history of computer vision over the past 15 years is not merely about architecture improvement. It is the story of how algorithms began…
Nandun Samarasekara·Mar 20Bottlenecks and Breakthroughs: Understanding the Architectural Leap from ResNet-18 to ResNet-50Residual Network(Resnet) architecture can be introduced as a major milestone in the modern Deep Learning field that is already…
Omar Rehan·Mar 17Detecting COVID-19 from Chest X-rays: A Deep Learning Approach using ResNet50V2 with Grad CAMIntroduction
