IEEE

CNN Image Forgery Detection: Machine Learning Improves Photojournalism Accuracy and Robustness

Abstract: The purpose of this study is to address the rising problem of picture modification and fraud, especially in the field of photojournalism, where the ability to recognize changed photos is ...
Deep Learning with Yacine on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...
IEEE

Comparative Study of Deep Learning Models for Sentiment Analysis on Social Media Data Using Hybrid BiLSTM-CNN Architecture

Abstract: In the modern era, social media platforms serve as key venues where individuals engage in conversations, share ideas, and express opinions. Sentiment analysis is a subfield of Natural ...