A Practical Approach to Timeseries Forecasting Using Python - BiLSTM and Stacked BiLSTM

The video tutorial explains how to create and evaluate a Bi-LSTM model, including adding Dense and Dropout layers. It compares the performance of single and stacked Bi-LSTM models, highlighting the importance of model configuration based on data. The tutorial emphasizes the need for experimentation with different layers and dropout rates to achieve optimal results.

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