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Lecture
Deep Learning: Generalization and Optimization
Description
This lecture explores the challenges and advantages of deep learning, focusing on the curse of dimensionality, bad minima in the loss landscape, and over-parametrization. It discusses the transition from fully connected networks to convolutional neural networks, emphasizing the hierarchical representation of data and the impact of network width on the loss landscape.
Official source
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