The overall algorithm (HumanAR.scala) has the following workflow:

• Loading the data
• Defining hyperparameters
• Setting up the LSTM model using imperative programming and the hyperparameters
• Applying batch wise training, that is, picking batch size data, feeding it to the model, then at some iterations evaluating the model and printing the batch loss and the accuracy
• Output the chart for the training and test errors

The preceding steps can be followed and constructed by way of a pipeline:

Now let's start the implementation step-by-step. Make sure that you understand each line of code then import the given project in Eclipse or SBT.