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tensorflow history plot

Famous Fox answered on May 17, 2021 Popularity 8/10 Helpfulness 10/10

answer tensorflow history plot

tensorflow history plot

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print(history.history.keys())
# summarize history for accuracy
plt.plot(history.history['accuracy'])
plt.plot(history.history['val_accuracy'])
plt.title('model accuracy')
plt.ylabel('accuracy')
plt.xlabel('epoch')
plt.legend(['train', 'test'], loc='upper left')
plt.show()
# summarize history for loss
plt.plot(history.history['loss'])
plt.plot(history.history['val_loss'])
plt.title('model loss')
plt.ylabel('loss')
plt.xlabel('epoch')
plt.legend(['train', 'test'], loc='upper left')
plt.show()

Popularity 8/10 Helpfulness 10/10 Language python

Source: Grepper

Tags: history plot python tensorflow

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Contributed on May 17 2021

Famous Fox

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tensorflow history plot

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