Deep Learning, Stock Prediction, Python, Financial Analysis, Programming.
# Plot the training and validation loss plt.figure(figsize=(10, 6)) plt.plot(history.history['loss'], label='Training Loss') plt.plot(history.history['val_loss'], label='Validation Loss') plt.title('Training and Validation Loss') plt.xlabel('Epoch') plt.ylabel('Loss') plt.legend() Figure 2: