This is an example to get started with Series data reconstruction with LSTM AUTOENCODERS.
To Define in basic terms an Autoencoder works in this way it takes an input sample, extracts all the important information (called as latent variable) , which also helps in elimanting noise and reconstructs back the input at the output with the help of the latent variable.
Link to Medium Article for LSTM AUTOENCODER : https://adnanmushtaq5.medium.com/lstm-autoencoder-9094615a019d
This is an example to show anomalies can be detected using LSTM Autoencoders for time series data.
Link to Medium Article for Anomaly Detection : https://adnanmushtaq5.medium.com/lstm-autoencoder-for-anamoly-detection-a0d77bb1540e