Nature

Automated machine learning model for fundus image classification by health-care professionals with no coding experience

To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary outcomes from fundus images in ophthalmology, evaluating two distinct online-based platforms (Google ...
Nature

Performance and generalization analysis of machine learning, deep learning, and transformer models for histopathology image classification

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Visual Studio Magazine

CIFAR-10 Image Classification Using PyTorch

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...
Geeky Gadgets

How to train AI to recognize images and classify – AI image recognition

Artificial Intelligence (AI) and Machine Learning (ML) have become foundational technologies in the field of image processing. Traditionally, AI image recognition involved algorithmic techniques for ...
InfoWorld

Use DirectML to train PyTorch machine learning models on a PC

Machine learning is an increasingly important tool for developers, providing a way to build applications that can deliver a wide range of prediction-based tasks. In the past you might have had to ...