Keras: The default top_k_categorical_accuracy is top 5. How to define my own customized accuracy, like top3?

Created on 10 Oct 2017  路  1Comment  路  Source: keras-team/keras

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Most helpful comment

Since this is not a bug with Keras this question should really be asked on StackOverflow but here is the answer anyway:

def top_3_accuracy(y_true, y_pred):
    return top_k_categorical_accuracy(y_true, y_pred, k=3)
.................................
.................................
.................................
model.compile(..........., metrics=[top_3_accuracy])

>All comments

Since this is not a bug with Keras this question should really be asked on StackOverflow but here is the answer anyway:

def top_3_accuracy(y_true, y_pred):
    return top_k_categorical_accuracy(y_true, y_pred, k=3)
.................................
.................................
.................................
model.compile(..........., metrics=[top_3_accuracy])
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