Bidirectional LSTM for time-series forecasting: A case study on Ozone data of Ticino, Switzerland
Date:
A short presentation for the DL Lab course on a bidirectional PyTorch-based LSTM model developed to assist the forecasting of Ozone level in Ticino. Data provided by project partners OASI.