Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

A deep learning project implementing a ResNet-based Convolutional Neural Network for classifying food images from the Food-101 dataset. This project demonstrates state-of-the-art computer vision ...

Founder of Bleeding Cool. The longest-serving digital news reporter in the world, since 1992. Author of The Flying Friar, Holed Up, The Avengefuls, Doctor Who: Room With A Deja Vu, The Many Murders Of ...

"This is a major step toward understanding how galaxies like our Milky Way came to be." When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Breaking ...

This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing and model inference tools for classifying ...

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...

The application of machine learning techniques and remote sensing imagery has significantly improved land cover classification and urban monitoring, especially in the context of urban planning, ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...