Fitting the LSTM model

For training the LSTM model, we will use the following code:

# Fit model
model_one <- model %>% fit(train_x, train_y,
         epochs = 10,
         batch_size = 128,
         validation_split = 0.2)
plot(model_one)

We will use train data to fit the LSTM model with ten epochs and use a batch size of 128. We will also reserve 20% of train data as validation data for assessing loss and accuracy values during model training.

Loss and accuracy plot

The following screenshot shows the loss and accuracy plot for model_one:

The plot for loss and accuracy based on training and validation data shows overall closeness between the curves. The observations from the plot are as follows:

• There is no major divergence...