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Feedforward neural networks trained to reconstruct their own input. Usually one of the hidden layers is a "bottleneck", leading to encoder->decoder interpretation.

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prepare data for autoencoder

I have for example 500 engines and for each engine I have 100 features and each feature is measured 1000 times. It means the data table is: 500,000 rows and 100 columns. (for each engine I have only a …