An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

This article explains how to create a PyTorch image classification system for the CIFAR-10 dataset. CIFAR-10 images are crude 32 x 32 color images of 10 classes such as "frog" and "car." A good way to ...

Our image-based subtype classification on the basis of deep learning models is a novel tool to refine risk stratification in cancers. The image subtypes detected for glioblastoma represent a promising ...

Each time you use AI to generate an image, write an email, or ask a chatbot a question, it comes at a cost to the planet. In fact, generating an image using a powerful AI model takes as much ...