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Vovagusev #22
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Vovagusev #22
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plt.plot(retVal.history['accuracy'], label = 'training accuracy') | ||
plt.legend() | ||
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"""Is it bad when the learning curve looks almost like a line? |
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You compare loss and accuracy at the same plot, that's why it looks a little weird.
For better visualization you could use separate plots for loss and accuracy:
plt.plot(retVal.history['accuracy'], label='train accuracy')
plt.plot(retVal.history['val_accuracy'], label='val accuracy')
plt.legend()
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Please remove facenet_keras.h5
from git :D
Storing models on the git itself is a bad tone
Just leave comments on where it should be downloaded
Other than that - LGTM
Description
Created some models with the highest 98.5% accuracy
How has this been tested?