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Les Houches Lectures on Deep Learning at Large & Infinite Width
These lectures, presented at the 2022 Les Houches Summer School on Statistical Physics and Machine Learning, focus on the infinite-width limit and large-width regime of deep neural networks.
Learning through atypical "phase transitions" in overparameterized neural networks
Current deep neural networks are highly overparameterized (up to billions of connection weights) and nonlinear.
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