Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

Adam Harley’s 3D Visualization of a Convolutional Neural Network lets you look inside the inner workings of artificial intelligence. Screenshot/ Adam Harley ...

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 ...

Convolutional Neural Networks (CNNs), the most commonly used AI model for image recognition, process images using small, square filters. While effective, this approach limits the ability to ...

The complexity of convolutional neural networks (CNN), the deep learning architecture commonly used in computer vision tasks, is usually measured in the number of parameters they have. The more ...

This pre-trained model was used as a baseline for transfer learning in the neural networks used in the study, namely, T1Net and T2Net, to classify T1- and T2-weighted MRIs, respectively.

They used a convolutional neural network (CNN), a type of machine learning algorithm particularly well suited to image recognition and trained it on more than 600 images of chromosomes which had ...