tf.raw_ops.SigmoidGrad
Computes the gradient of the sigmoid of x wrt its input.
tf.raw_ops.SigmoidGrad(
y, dy, name=None
)
Specifically, grad = dy * y * (1 - y), where y = sigmoid(x), and dy is the corresponding input gradient.
| Args | |
|---|---|
y |
A Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, complex128. |
dy |
A Tensor. Must have the same type as y. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as y. |
© 2020 The TensorFlow Authors. All rights reserved.
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/SigmoidGrad