Project Creation: Part Three

In this final lesson, we are going to complete the project by training the model and taking a look at the predictions made by the model.

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.

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