The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its ...

This paper helps to explore the intricate task of natural and precise image grouping for effective organization and retrieval. High precision in image classification is challenging due to the ...

For example, in the field of intelligent transportation, the image classification system integrating deep learning and machine learning models can detect and identify vehicle types, license plate ...

To leverage the advantages of both these approaches and overcome their respective limitations, we propose a computational pipeline in the spirit of active learning. Our approach builds upon previous ...

In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats". This repository contains code for ...

machine-learning deep-learning neural-network image-classification artificial-neural-networks regularization convolutional-neural-networks l2-regularization binary-image-classification dropouts ...

Convolutional Neural Network (CNN) models are a type of deep learning architecture introduced to achieve the correct classification of breast cancer. This paper has a two-fold purpose. The first aim ...

Deep learning (DL) algorithms have the promise to improve the quality of diagnostic image interpretation within oncology. 1, 2 Models generated from DL algorithms have been validated across a variety ...