tf.nn.log_softmax | TensorFlow v2.16.1 (original) (raw)
tf.nn.log_softmax
Stay organized with collections Save and categorize content based on your preferences.
Computes log softmax activations.
View aliases
Main aliases
tf.nn.log_softmax(
logits, axis=None, name=None
)
Used in the notebooks
| Used in the tutorials |
|---|
| Training with Orbit |
For each batch i and class j we have
logsoftmax = logits - log(reduce_sum(exp(logits), axis))
| 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 as logits. Same shape as logits. |
| Raises | |
|---|---|
| InvalidArgumentError | if logits is empty or axis is beyond the last dimension of logits. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.