设置模型，为实验设置训练和验证数据，模型训练已经执行。但是在训练神经网络之后，在可视化训练过程中，我收到了一个错误。
import matplotlib.pyplot as plt
%matplotlib inline
acc=history.history['categorical_accuracy']
val_acc=history.history['val_categorical_accuracy']
loss=history.history['loss']
val_loss=history.history['val_loss']
epochs=range(1,len(acc)+1)
plt.xlabel('Epochs')
plt.ylabel('Accuracy')
plt.plot(epochs, acc, 'bo', label='Training acc')
plt.plot(epochs, val_acc, 'b', label='Validation acc')
plt.title('Training and validation accuracy')
plt.legend()
plt.figure()
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()
NameError Traceback (most recent call last)
<ipython-input-7-e1591c31f061> in <module>()
2 get_ipython().magic('matplotlib inline')
3
----> 4 acc=history.history['categorical_accuracy']
5 val_acc=history.history['val_categorical_accuracy']
6 loss=history.history['loss']
NameError: name 'history' is not defined
最佳答案
当你调用 model.fit 时，它应该是
history = model.fit()
关于python - 名称错误 : name 'history' is not defined，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/66576876/