Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see where this article is headed is to take a look at the ...
Geeky Gadgets

How to use PyTorch for Deep Learning applications – Beginners Guide

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Embedded

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, ...
Time

Convolutional Neural Networks (CNNs)

This article is published by AllBusiness.com, a partner of TIME. A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically ...
inc42

What Are Convolutional Neural Networks? Here’s All You Need to Know

What Is A Convolutional Neural Network? A Convolutional Neural Network (CNN), or CovNet, is a powerful deep learning algorithm designed to analyse visual data like images and videos. Inspired by the ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...