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RNN/LSTM timeseries, with fixed attributes per run

You can create a sort of encoder-decoder network with two different inputs. ...
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Training data for anomaly detection using LSTM Autoencoder

I will try to clarify the point as best as I can. Ideally a model for anomaly détection should be trained with typical data, so that atypical data (anomalies) stand out. However in practice this may ...
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