Machine Learning 27: Neural Nets - Avoiding Overfitting

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We discuss popular techniques for avoiding overfitting when training neural networks. Concretely, we discuss validation and early stopping in the context of neural nets. We also revisit weight decay for regularization and show how to apply it to neural nets.
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