Monte Carlo Dropout
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Description
I tried the Monte Carlo Dropout
with keras.backend.learning_phase_scope(1): # force training mode = dropout on
y_probas = np.stack([model.predict(X_test)
for sample in range(100)])
y_proba = y_probas.mean(axis=0)
and got this error message
with keras.backend.learning_phase_scope(1): # force training mode = dropout on
AttributeError: module 'keras.backend' has no attribute 'learning_phase_scope'
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