Neural Networks Generalization
Tim and Simon delve into the complexities of neural networks' ability to generalize beyond training data in the face of high-dimensional spaces and over parameterization. They discuss the challenges posed by the curse of dimensionality and the intricate balance between data volume and network smoothness.In this clip
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