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 ...
Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...
Abstract: In the past decade, despite significant advancements in Artificial Intelligence (AI) and deep learning technologies, they still fall short of fully replicating the complex functions of the ...
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 ...
Mr. Van Aertryck and Mr. Danielson are filmmakers. The camera is a tool — but to do what? Images shape our daily life, yet we rarely question how they’re made or why. As filmmakers, we’re fascinated ...
Globally, the growth of plastic production has increased exponentially from 1.5 million metric tons (Mt) in 1950 to 400.3 Mt in 2022, resulting in a substantial increase of marine litter along the ...
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 ...
Longitudinal imaging plays a crucial role for health studies, screening, and monitoring, by enabling the tracking of significant changes over time. Current methods require manual preprocessing with ...
The growing reliance on video data in machine learning applications has exposed several challenges in video decoding. Extracting meaningful frames or sequences efficiently and in formats suitable for ...
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