Python绘制神经网络精度与损失曲线

 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‘],label=‘Training acc‘)
21     plt.plot(epochs,history[‘val_acc‘],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()

Python绘制神经网络精度与损失曲线

绘制图形展示： 2019-08-07 22:47:00