| import matplotlib.pyplot as plt |
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| 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] |
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| 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() |
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| plt.savefig('plot.png') |
