Flipped Classroom: Effective Teaching for Time Series Forecasting

Understand

Sequence-to-sequence models based on LSTM and GRU are a most popular choice for forecasting time series data reaching state-of-the-art performance.

• Training such models can be delicate though.
• The two most common training strategies within this context are teacher forcing (TF) and free running (FR).
• TF can be used to help the model to converge faster but may provoke an exposure bias issue due to a discrepancy between training and inference phase.