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Theoretical Principles of Deep Learning 23/24

Theoretical Principles of Deep Learning

TD 1: Single Layer Perceptron
TP2 : Approximation with neural networks
TP3 : Lazy training
TP5 : Neural Tangent Kernel
TP6 : PAC-Bayes

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By Hédi Hadiji

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