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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.

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Cross validation for anomaly detection using autoencoder

No, cross validation requires labelled data since you are measuring performance of prediction against ground truth (the labels). If in your case, since this is part of business operations, you can as …
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1 vote

How to perform a reggression on 3 functions using a Neural Network

Create a different networks for each function, each with a single output. Ensure you have at least one hidden layer in each network. Use ReLU in this layer. Use a linear layer at the output without a …
Jinglesting's user avatar