BIOENGINEER

Hybrid Graph Capsule Network Boosts Link Prediction Accuracy by 9.1 Percent

A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent ...
BIOENGINEER

Prototype network learns to reject unknown sounds with limited data

Researchers at Sun Yat-sen University have developed an improved convolutional prototype network that classifies known ...
techtarget

convolutional neural network (CNN)

Artificial neural networks (ANNs) are a core element of deep learning algorithms. One type of an ANN is a recurrent neural network (RNN) that uses sequential or time series data as input. It is ...
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Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
techtarget

What is a convolutional neural network (CNN)?

A convolutional neural network (CNN) is a category of machine learning model. Specifically, it is a type of deep learning algorithm that is well suited to analyzing visual data. CNNs are commonly used ...