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Results tagged with overfitting
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user 10
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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What is the "dropout" technique?
Dropout means that every individual data point is only used to fit a random subset of the neurons. This is done to make the neural network more like an ensemble model.
That is, just as a random fores …
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