TensorFlow 1 version
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View source on GitHub
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Calculates how often predictions matches one-hot labels.
tf.keras.metrics.categorical_accuracy(
y_true, y_pred
)
You can provide logits of classes as y_pred, since argmax of
logits and probabilities are same.
Args | |
|---|---|
y_true
|
One-hot ground truth values. |
y_pred
|
The prediction values. |
Returns | |
|---|---|
| Categorical accuracy values. |