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 ...

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 ...

Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task. Topics python machine-learning deep-learning detection jupyter-notebook ...

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 ...

Most of the advances in neural network models, for example in image classification and language translation, have required considerable hand-tuning of the neural network architecture, which is ...

New computing architecture: Deep learning with light ... 98.7 percent for image classification and 98.8 percent for digit recognition -- at rapid speeds. "We had to do some calibration, ...

This study introduces a malaria detection model employing Deep Learning CNN with the EfficientNet architecture for feature extraction, and Support Vector Machine (SVM) classification. The dataset ...

Vision Transformer (ViT): A deep learning architecture that applies transformer models—originally developed for language processing—to the task of image classification, offering an alternative ...