Plotting keras model trainning history

JJSSEEXX answered on January 22, 2021 Popularity 7/10 Helpfulness 7/10

answer Plotting keras model trainning history

Plotting keras model trainning history

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history = model.fit()
print(history.history.keys())

import matplotlib.pylab as plt
from matplotlib.pyplot import figure
figure(figsize=(8, 6))
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()

# acccuracy and val_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', 'val'], loc='upper left')
plt.show()

Popularity 7/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: history keras model python

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Contributed on Jan 22 2021

JJSSEEXX

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Plotting keras model trainning history

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