DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning
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YouTubeGoogle DeepMind
DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning
Optimization methods are the engines underlying neural networks that enable them to learn from data. In this lecture, DeepMind Research Scientist James Martens covers the fundamentals of gradient-based optimization methods, and their application to training neural networks. Major topics include gradient descent, momentum methods, 2nd-order ...
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