tf.nn.softmax
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Computes softmax activations.
tf.nn.softmax(
logits, axis=None, name=None
)
Used for multi-class predictions. The sum of all outputs generated by softmax
is 1.
This function performs the equivalent of
softmax = tf.exp(logits) / tf.reduce_sum(tf.exp(logits), axis, keepdims=True)
Example usage:
softmax = tf.nn.softmax([-1, 0., 1.])
softmax
<tf.Tensor: shape=(3,), dtype=float32,
numpy=array([0.09003057, 0.24472848, 0.66524094], dtype=float32)>
sum(softmax)
<tf.Tensor: shape=(), dtype=float32, numpy=1.0>
Args |
|---|
logits
|
A non-empty Tensor. Must be one of the following types: half,
float32, float64.
|
axis
|
The dimension softmax would be performed on. The default is -1 which
indicates the last dimension.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type and shape as logits.
|
Raises |
|---|
InvalidArgumentError
|
if logits is empty or axis is beyond the last
dimension of logits.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.nn.softmax\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/nn_ops.py#L3864-L3902) |\n\nComputes softmax activations.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.math.softmax`](https://www.tensorflow.org/api_docs/python/tf/nn/softmax)\n\n\u003cbr /\u003e\n\n tf.nn.softmax(\n logits, axis=None, name=None\n )\n\nUsed for multi-class predictions. The sum of all outputs generated by softmax\nis 1.\n\nThis function performs the equivalent of \n\n softmax = tf.exp(logits) / tf.reduce_sum(tf.exp(logits), axis, keepdims=True)\n\nExample usage: \n\n softmax = tf.nn.softmax([-1, 0., 1.])\n softmax\n \u003ctf.Tensor: shape=(3,), dtype=float32,\n numpy=array([0.09003057, 0.24472848, 0.66524094], dtype=float32)\u003e\n sum(softmax)\n \u003ctf.Tensor: shape=(), dtype=float32, numpy=1.0\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|----------------------------------------------------------------------------------------------------|\n| `logits` | A non-empty `Tensor`. Must be one of the following types: `half`, `float32`, `float64`. |\n| `axis` | The dimension softmax would be performed on. The default is -1 which indicates the last dimension. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type and shape as `logits`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|------------------------|--------------------------------------------------------------------------|\n| `InvalidArgumentError` | if `logits` is empty or `axis` is beyond the last dimension of `logits`. |\n\n\u003cbr /\u003e"]]
View source on GitHub