tf.contrib.layers.softmax
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Performs softmax on Nth dimension of N-dimensional logit tensor.
tf.contrib.layers.softmax(
logits, scope=None
)
For two-dimensional logits this reduces to tf.nn.softmax. The N-th dimension
needs to have a specified number of elements (number of classes).
Args |
logits
|
N-dimensional Tensor with logits, where N > 1.
|
scope
|
Optional scope for variable_scope.
|
Returns |
A Tensor with same shape and type as logits.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.layers.softmax\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/layers/python/layers/layers.py#L2888-L2910) |\n\nPerforms softmax on Nth dimension of N-dimensional logit tensor. \n\n tf.contrib.layers.softmax(\n logits, scope=None\n )\n\nFor two-dimensional logits this reduces to tf.nn.softmax. The N-th dimension\nneeds to have a specified number of elements (number of classes).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|---------------------------------------------------|\n| `logits` | N-dimensional `Tensor` with logits, where N \\\u003e 1. |\n| `scope` | Optional scope for variable_scope. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` with same shape and type as logits. ||\n\n\u003cbr /\u003e"]]