Nature

A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder

Network traffic anomaly detection, as an effective analysis method for network security, can identify differentiated traffic information and provide secure operation in complex and changing network ...
Nature

Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction

In recent years, with the rapid development of the economy, people’s demand for the construction of smart cities and intelligent transportation systems has become more and more intense. The most ...
GIGAZINE

An easy-to-understand illustration of 'What is a convolutional neural network?'

I've seen more and more terms like AI, machine learning, and neural networks, but it's hard to understand what they really are. Therefore, Yulia Gavrilova, a clinical psychologist who also develops ...
Your Story

Convolutional neural network (CNN)

What is a Convolutional Neural Network (CNN)? CNNs, short for Convolutional Neural Networks, are deep learning tools built to analyse visual data such as photos and graphics. It is a brain-inspired ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...