This repository contains a comprehensive implementation of the ResNet-50 architecture, a powerful deep learning model widely used for image classification tasks. ResNet-50, part of the Residual ...

Nowadays, deep learning has got a major success in computer vision, especially in image recognition. In this paper, a new architecture based on DenseNets which is referred to as Multi-Scale Input ...

The deep learning model, which uses Small VGGNet architecture to focus on image classification, performed exceptionally well, correctly categorizing the images. Google Photos has already implemented ...

In this article, we will implement the multiclass image classification using the VGG-19 Deep Convolutional Network used as a Transfer Learning framework where the VGGNet comes pre-trained on the ...

This project implements the ViT architecture for image classification using deep learning. It focuses on developing model for accurate image classification. It includes data loading, model training, ...

Image classification determines whether a certain type of object is present in an image or not. ... (CNN), the deep learning architecture commonly used in computer vision tasks, ...

The software supports CNN, DNN and KNN algorithms. The use of CNN and DNN are currently mainstream in the development of deep learning (DL) for ADC classification in the semiconductor industry. We ...