tf.raw_ops.ReluGrad
Stay organized with collections Save and categorize content based on your preferences.

Computes rectified linear gradients for a Relu operation.

Compat aliases for migration

tf.compat.v1.raw_ops.ReluGrad

tf.raw_ops.ReluGrad(
    gradients, features, name=None
)

Args
`gradients`	A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. The backpropagated gradients to the corresponding Relu operation.
`features`	A `Tensor`. Must have the same type as `gradients`. The features passed as input to the corresponding Relu operation, OR the outputs of that operation (both work equivalently).
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `gradients`.

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.

tf.raw_ops.ReluGradStay organized with collections Save and categorize content based on your preferences.