BIOENGINEER

Hybrid AI Parser Pairs Transformers with Graph Networks to Decode English Grammar

A new hybrid model called TG-Parser combines Transformer encoders with graph convolutional networks to achieve record-setting ...
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 ...
InfoQ

Meta AI’s Convolution Networks Upgrade Improves Image Classification

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...
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 ...
BIOENGINEER

Neural Networks Meet Chaos: New Image Encryption Scheme Promises Speed and Security

Researchers in Iran have developed CNNHSIE, an image encryption algorithm that combines hyperchaotic systems with a VGG16 ...
Electronic Design

Improving Convolutional Neural Networks at the Edge

The AI revolution continuously requires new tools and methods to take full advantage of its promise, especially when dealing with imaging data beyond visible wavelengths of the electromagnetic ...
techtarget

CNN vs. GAN: How are they different?

Convolutional neural networks (CNNs) and generative adversarial networks (GANs) are examples of neural networks-- a type of deep learning algorithm modeled after how the human brain works. "GANs are ...