history = model.fit()

繪制訓練損失和驗證損失

import matplotlib.pyplot as plt

loss = history.history[‘loss‘]
val_loss = history.history[‘val_loss‘]

epochs = range(1, len(loss) + 1)

plt.plot(epochs, loss, ‘bo‘, label = ‘Training loss‘)
plt.plot(epochs, val_loss, ‘b‘, label = ‘Validation loss‘)
plt.title(‘Training And Validation Loss
 
‘)
plt.xlabel(‘Epochs‘)
plt.ylabel(‘Loss‘)
plt.legend()
plt.show()

繪制訓練精度和驗證精度

plt.clf()

acc = history.history[‘acc‘]
val_acc = history.history[‘val_acc‘]

plt.plot(epochs, acc, ‘bo‘, label = ‘Training acc‘)
plt.plot(epochs, val_acc, ‘b‘, label = ‘Validation acc‘)
plt.title(‘Training And Validation Accuracy
 
‘)
plt.xlabel(‘Epochs‘)
plt.ylabel(‘Accuracy‘)
plt.legend()
plt.show()

繪制學習模型的訓練損失和驗證損失圖形、繪制訓練精度和驗證精度圖形