Python繪制神經網絡精度與損失曲線

""" python繪制神經網絡訓練精度與損失 """

# 導入相應包
from matplotlib import pyplot as plt

# 構造繪圖函數
def drow(history):
    epochs = range(1, len(history['loss']) + 1)
    plt.plot(epochs, history['loss'], 'bo', label='Training loss')
    plt.plot(epochs, history['val_loss'], 'b', label='Validation loss')
    plt.title('Training and Validation loss')
    plt.xlabel('Epochs')
    plt.ylabel('Loss')
    plt.legend()

    plt.imsave('E:/acc_and_loss/Training and Validation loss.jpg')

    plt.figure()
    epochs = range(1, len(history['acc']) + 1)
    plt.plot(epochs, history['acc'], 'bo', label='Training acc')
    plt.plot(epochs, history['val_acc'], 'b', label='validation acc')
    plt.title('Training and validation acc')
    plt.xlabel('Epochs')
    plt.ylabel('acc')
    plt.legend()

    plt.imsave('E:/acc_and_loss/Training and validation acc.jpg')

    plt.show()

繪制圖形展示： 2019-08-07 22:47:00