It is important and informative to compare and contrast major economic crises in order to confront novel and unknown cases such as the COVID-19 pandemic.
Computational Engineering, Finance, and Science General Economics Economics
Our model demonstrated improvement in training time during convolution from $600-700$ ms/step to $400-500$ ms/step.
In particular, deep learning techniques are capable of capturing and learning hidden features in a given data sets and thus building a more accurate prediction model for clustering and labeling problem.
These sequences are then fed into the bidirectional LSTM model and then mapped into fixed-length vectors.
The major question is that whether the gates incorporated in the LSTM architecture already offers a good prediction and whether additional training of data would be necessary to further improve the prediction.