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Explore practical challenges and solutions in training large neural networks through this comprehensive lecture, covering essential approaches for handling common issues that arise during the training process. Delve into advanced implementation strategies and techniques that help overcome obstacles when working with complex neural network architectures. Access supplementary materials and detailed explanations through the accompanying course website to enhance understanding of these critical machine learning concepts.
Syllabus
Machine Learning: Lecture 27a: Practical issues with Neural Networks
Taught by
UofU Data Science