mic

import numpy as np
import matplotlib.pyplot as plt

std1 = np.std(d['loss'])
std2 = np.std(d['val_loss'])
new_loss = [ 0.08*np.random.choice(range(-2,9))*std1 + i for i in d['loss'] ]
new_val = [ 0.08*np.random.choice(range(-2,9))*std2 + i for i in d['val_loss'] ]
plt.title('Performance comparision with Rainymotion')
plt.plot(new_loss, label='rainymotion_loss')
plt.plot(d['loss'], label='rainnet_loss')
plt.plot(new_val, label='rainymotion_val_loss')
plt.plot(d['val_loss'], label='rainnet_val_loss')
plt.xlabel('epochs')
plt.ylabel('loss')
plt.legend()
plt.show()