1 """ python绘制神经网络训练精度与损失 """
2
3 # 导入相应包
4 from matplotlib import pyplot as plt
5
6 # 构造绘图函数
7 def drow(history):
8 epochs = range(1, len(history['loss']) + 1)
9 plt.plot(epochs, history['loss'], 'bo', label='Training loss')
10 plt.plot(epochs, history['val_loss'], 'b', label='Validation loss')
11 plt.title('Training and Validation loss')
12 plt.xlabel('Epochs')
13 plt.ylabel('Loss')
14 plt.legend()
15
16 plt.imsave('E:/acc_and_loss/Training and Validation loss.jpg')
17
18 plt.figure()
19 epochs = range(1, len(history['acc']) + 1)
20 plt.plot(epochs, history['acc'], 'bo', label='Training acc')
21 plt.plot(epochs, history['val_acc'], 'b', label='validation acc')
22 plt.title('Training and validation acc')
23 plt.xlabel('Epochs')
24 plt.ylabel('acc')
25 plt.legend()
26
27 plt.imsave('E:/acc_and_loss/Training and validation acc.jpg')
28
29 plt.show()
结果展示：
2019-08-07 22:36:29