Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

All the latest science news on convolutional neural networks from Phys.org. Find the latest news, advancements, and breakthroughs.

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

This research aims to investigate the adaptability of several existing deep-learning architectures for semantic segmentation in off-road environments. Previous studies of two Convolutional Neural ...

Convolutional Neural Networks (CNN) are a class of machine learning models predominately used in computer vision tasks and can achieve human-like performance through learning from experience. Their ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

the comparison of the convolutional neural network in Python environment is presented in this paper. The Anaconda platform provides free and easy to use tools for Python scripting language. After ...