Train multiple anomaly detetction models for serveral multivariate time series

Hello ,
I have a dataframe that contains about a thousand multivariate time series I want to detect the anomalies on these time series with autoencoders Is there a way to tune the hyperparameters for each model with tensorflow? If I train all the models with the same hyperparameters can I get good results?
Thanks in advance