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Results tagged with neural-networks
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user 80922
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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Interpreting Validation and Training loss
You should always check what happens if you reshuffle and do the train/validation split again in these situations.
Data points are inherently more/less difficult to classify and not shuffling appropr …
- 154
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When training an RNN, what are the important factors for deciding how many unrollings / unfo...
As far as I understand many RNN:s are trained with back propagation over a sequence of $k$ datapoints.
The RNN is "unrolled" for each datapoint, i.e. its output is fed into itself together with the …
- 154