An LSTM-Autoencoder Architecture for Anomaly Detection Applied on Compressors Audio Data

Table 11

Stacked LSTM model parameters and configuration (created by authors).

Model hyperparameters and configuration
Model architecture	Stacked LSTM
Number of classes	2
Number of layers	6
Batch size	128
Number of epochs	50
Number of units	50
Dropout rate	0.1
Total number of trainable parameters	102,502