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Results tagged with neural-networks
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user 93016
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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Accepted
Understanding batch size in neural networks
In batch processing, the gradient is evaluated for several different input/output values, with each observation yielding a different vector. We then average together the gradient vectors over all obse …
- 545
3
votes
Understanding early stopping in neural networks and its implications when using cross-valida...
The way that you can use cross-validation to determine the optimal number of epochs to train with early stopping is this: suppose we were training for between 1 to 100 epochs. For each fold, train you …
- 545