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Hi, I think your accuracy is wrong. If you use binary crossentropy, "acc" metric is only valid for binary classification problems. Cifar10 has 10 classes, you should use "categorical_accuracy" as metric, which is accurate, "acc" does not work correctly and reports wrong (too high) numbers in this case!
The text was updated successfully, but these errors were encountered:
Hi, I think your accuracy is wrong. If you use binary crossentropy, "acc" metric is only valid for binary classification problems. Cifar10 has 10 classes, you should use "categorical_accuracy" as metric, which is accurate, "acc" does not work correctly and reports wrong (too high) numbers in this case!
The text was updated successfully, but these errors were encountered: