tf.keras.backend.in_top_k
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Returns whether the targets are in the top k predictions.
tf.keras.backend.in_top_k(
predictions, targets, k
)
Arguments |
|---|
predictions
|
A tensor of shape (batch_size, classes) and type float32.
|
targets
|
A 1D tensor of length batch_size and type int32 or int64.
|
k
|
An int, number of top elements to consider.
|
Returns |
|---|
A 1D tensor of length batch_size and type bool.
output[i] is True if predictions[i, targets[i]] is within top-k
values of predictions[i].
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.in_top_k\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/backend/in_top_k) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/backend.py#L4569-L4583) |\n\nReturns whether the `targets` are in the top `k` `predictions`.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.backend.in_top_k`](/api_docs/python/tf/keras/backend/in_top_k), \\`tf.compat.v2.keras.backend.in_top_k\\`\n\n\u003cbr /\u003e\n\n tf.keras.backend.in_top_k(\n predictions, targets, k\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------------|-----------------------------------------------------------------|\n| `predictions` | A tensor of shape `(batch_size, classes)` and type `float32`. |\n| `targets` | A 1D tensor of length `batch_size` and type `int32` or `int64`. |\n| `k` | An `int`, number of top elements to consider. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A 1D tensor of length `batch_size` and type `bool`. `output[i]` is `True` if `predictions[i, targets[i]]` is within top-`k` values of `predictions[i]`. ||\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub