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For questions related to the concept of overfitting in machine learning, which can be loosely defined as the gap between the performance on the training set and the performance on the test set.

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In Goodfellow et al. book Deep Learning chapter 12.1.4 they write These large models learn some function $f(x)$, but do so using many more parameters than are necessary for the task. Their size is ne …
asked Aug 22 '20 by Borun Chowdhury