Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

Abstract: This tutorial describes the different types of artificial neural networks in use today. It is the second in a series of three tutorials which describe the role of artificial neural networks ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

Artificial neural networks are inspired by the early models ... we can make the network 'learn' to solve many types of problems. A model neuron is referred to as a threshold unit and its function ...

[Ramin Hasani] and colleague [Mathias Lechner] have been working with a new type of Artificial Neural Network called Liquid Neural Networks, and presented some of the exciting results at a recent ...

Convolutional Neural Networks are being increasingly used to perform classification. Here we used dataset available on kaggle containing images of different dog flowers, train the model using CNN and ...

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more ...

Traditional artificial intelligence (AI) systems are built on artificial neural networks that mimic the human brain’s neurons ...

A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever ...