The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, such as "red," "yellow" or "green" for a traffic signal. This article ...

This article is the third in a series of four articles that present a complete end-to-end production-quality example of multi-class classification using a PyTorch neural network. The running example ...

Learn about the Network in Network architecture and its impact on improving performance in deep neural networks using PyTorch. Maddow Blog | Rubio’s latest moves raise fresh doubts about the ...

PyTorch Geometric (PyG) is a library that data scientists and others can use to write and train graph neural networks for applications ... and single giant graphs, multi GPU-support, distributed ...

A subcategory of machine learning, deep learning uses multi-layered neural networks ... tasks and train a convolutional neural network (CNN) using PyTorch “to analyze each frame and produce ...