# Category: Neural Network

## What Are Graph Neural Networks? How GNNs Work, Explained with Examples

Graph Neural Networks are getting more and more popular and are being used extensively in a wide variety of projects….

## Learn Neural Networks for Natural Language Processing Now

Still haven’t come across enough quality contemporary natural language processing resources? Here is yet another freely-accessible offering from a top-notch…

## DeepONet: A deep neural network-based model to approximate linear and nonlinear operators

Artificial neural networks are known to be highly efficient approximators of continuous functions, which are functions with no sudden changes…

## Can Artificial Neural Networks Create Music? – open source for you

One of the recent applications of neural networks has been in the field of art and music. Are artificial neural…

## How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch

In this tutorial, we will explore graph neural networks and graph convolutions. Graphs are a super general representation of data…

## Develop a Neural Network for Cancer Survival Dataset

It can be challenging to develop a neural network predictive model for a new dataset. One approach is to first…

## Neural Network Models for Combined Classification and Regression

Some prediction problems require predicting both numeric values and a class label for the same input. A simple approach is…