tf.raw_ops.SoftplusGrad
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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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Last updated 2020-10-01 UTC.
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