Setting up the Model, Setting up Training and Validation Data for the experiment, Model Training has executed. But after training of the neural network, during Visualizing the Training Process, I received an error.
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
When you call model.fit it should be
history = model.fit()
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