With artificial intelligence (AI) transforming industries around the world at lightning speed, the need for experts in the field has shot through the roof. For ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Recognizing the growing importance of synthetic data in the industry, Interview Kickstart has meticulously designed its Data Science Course to equip professionals with the skills necessary to navigate ...

Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with ...

This repository contains a deep learning project that implements a Convolutional Neural Network (CNN) for image classification on the CIFAR-10 dataset. Objective: Build and train a CNN to classify ...

The experiments are conducted using two datasets, APTOS2019 and Messidor-2, which provide diverse retinal images for robust evaluation. The proposed model achieves high performance on diabetic ...

Objectives The aim of this study was to evaluate the performance of deep learning ... medical images, CEUS video data contain important dynamic information. However, traditional neural network methods ...

To address this, we propose a novel pneumonia diagnosis method using the Fast-YOLO deep learning network that we introduced ... data varies significantly (such as different styles in image ...

Field Of Deep Learning,Image Classification Tasks,Long-range Dependencies,Medical Image Analysis,Medical Imaging,Neural Network,Object Detection,Position Information,Spatial Information,Traditional ...

The goal is to maximize the efficiency and applicability of AI responses, whether it's generating text, code, images, or even engaging in complex ... The journey continues with “NLP and Deep Learning, ...