| import matplotlib.pyplot as plt | |
| epochs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] | |
| train_accuracy = [99, 99, 98, 98, 98, 99, 98, 99, 98, 99] | |
| val_accuracy = [99, 99, 98, 98, 98, 99, 98, 99, 98, 99] | |
| plt.figure(figsize=(10, 6)) | |
| plt.plot(epochs, train_accuracy, label='Train Accuracy', marker='o') | |
| plt.plot(epochs, val_accuracy, label='Validation Accuracy', marker='o') | |
| plt.xlabel('Epochs') | |
| plt.ylabel('Accuracy (%)') | |
| plt.title('Training and Validation Accuracy') | |
| plt.legend() | |
| plt.grid(True) | |
| plt.show() | |
| plt.savefig('plot.png') |