Project Creation: Part Three
With the work from the previous lessons, we finally have our input data in the format that our model can accept. We will now build our model architecture. We are going to use a stacked LSTM based model.
What is a "Stacked
LSTM" based model?
It is nothing different. As the name suggests, it means that we have more than one
LSTM layer in our model. The first
LSTM layer accepts the input data and generate an output. This output is then fed to another
LSTM layer which generates some other output. This process goes on and depends on how many
LSTM layers you created in your model. Finally, the top most
LSTM layer will feed its output to a densely connected layer to produce the final predictions. Look at the illustration below to get a better understanding. We have assumed the model to have two
LSTM stacked layers.