India Education Diary on MSN
IITM Pravartak launches second cohort of applied artificial intelligence & deep learning ...
Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and MLOps, with campus immersion.
The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...
Deep Learning with Yacine on MSN
Digit recognition with deep learning — PyTorch beginner project
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...
Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
Introduction: Cataracts, the leading cause of reversible blindness globally, require timely detection and intervention for effective prevention of blindness. Artificial intelligence can assist in ...
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 ...
Who knew there were so many categories of cleaning? There's deep cleans, spring cleans, maintenance cleans, garage/attic/basement clean outs — the list really does go on and on. However, two of the ...
Orbit fractures under 20 years are a medical emergency requiring urgent surgery with the gold standard modality being high-resolution CT. If radiography could be used to identify patients without ...
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