Lstm, Logistic Regression, Python, Dataspell, Jetbrains.
backwards through the LSTM layer and then concatenates the outputs. This helps LSTM to learn long term dependencies. We then fit it to a dense neural network to do classification. In our model summary, we have our embeddings, our Bidirectional contains LSTM, followed by two dense layers. The output