Computes softplus gradients for a softplus operation.
tf.raw_ops.SoftplusGrad(
gradients, features, name=None
)
| Args | |
|---|---|
gradients | A Tensor. Must be one of the following types: half, bfloat16, float32, float64. The backpropagated gradients to the corresponding softplus operation. |
features | A Tensor. Must have the same type as gradients. The features passed as input to the corresponding softplus operation. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as gradients. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SoftplusGrad