import matplotlib.pyplot as plt
plt.plot(range(1, 31), [84, 91, 93, 93, 94, 94, 94, 95, 95, 95, 95, 95, 95,
    95, 95, 95, 95, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96],
    label='training accuracy')
plt.plot(range(1, 31), [94, 96, 97, 97, 97, 97, 98, 98, 98, 98, 98, 98, 98,
    98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98],
    label='validation accuracy')
plt.xlabel('epoch')
plt.ylabel('accuracy')
plt.legend()
plt.title('training and validation accuracy without data augmentation')
plt.show()

07e3189e022afed81a5287eab8494429665f288c
<mask token>

<mask token>
plt.plot(range(1, 31), [84, 91, 93, 93, 94, 94, 94, 95, 95, 95, 95, 95, 95,
    95, 95, 95, 95, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96],
    label='training accuracy')
plt.plot(range(1, 31), [94, 96, 97, 97, 97, 97, 98, 98, 98, 98, 98, 98, 98,
    98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98],
    label='validation accuracy')
plt.xlabel('epoch')
plt.ylabel('accuracy')
plt.legend()
plt.title('training and validation accuracy without data augmentation')
plt.show()

import matplotlib.pyplot as plt
plt.plot(range(1, 31), [84, 91, 93, 93, 94, 94, 94, 95, 95, 95, 95, 95, 95,
    95, 95, 95, 95, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96, 96],
    label='training accuracy')
plt.plot(range(1, 31), [94, 96, 97, 97, 97, 97, 98, 98, 98, 98, 98, 98, 98,
    98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98],
    label='validation accuracy')
plt.xlabel('epoch')
plt.ylabel('accuracy')
plt.legend()
plt.title('training and validation accuracy without data augmentation')
plt.show()
