code: #!/usr/bin/env python
  """
  This script stores a plotting function.
  """
  
  # Dependencies
  import numpy as np
  import matplotlib.pyplot as plt
  
  # Function for plotting loss and accuracy learning curves.
  def plot_history(H, epochs):
      """
      Utility function for plotting model history using matplotlib
      
      H: model history 
      epochs: number of epochs for which the model was trained
      """
      plt.style.use("fivethirtyeight")
      plt.figure()
      plt.plot(np.arange(0, epochs), H.history["loss"], label="train_loss")
      plt.plot(np.arange(0, epochs), H.history["val_loss"], label="val_loss")
      plt.plot(np.arange(0, epochs), H.history["accuracy"], label="train_acc")
      plt.plot(np.arange(0, epochs), H.history["val_accuracy"], label="val_acc")
      plt.title("Training Loss and Accuracy")
      plt.xlabel("Epoch #")
      plt.ylabel("Loss/Accuracy")
      plt.legend()
      plt.tight_layout()
      plt.show()
apis: matplotlib.pyplot.style.use matplotlib.pyplot.legend matplotlib.pyplot.figure matplotlib.pyplot.tight_layout matplotlib.pyplot.title numpy.arange matplotlib.pyplot.show matplotlib.pyplot.ylabel matplotlib.pyplot.xlabel