A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

Abstract: This paper presents an innovative method for detecting blurry images by utilizing machine learning techniques. It integrates traditional image quality attributes with deep learning via a ...

This is the repository for the LinkedIn Learning course PyTorch Essential Training: Working with Images. The full course is available from LinkedIn Learning. Machine learning developers and data ...

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 ...

According to @soumithchintala, PyTorch has experienced unprecedented growth while maintaining its foundational values, highlighting the framework's expanding influence in the AI industry (source: ...

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 ...

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 ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...