tf.nn.relu6
| View source on GitHub |
Computes Rectified Linear 6: min(max(features, 0), 6).
tf.nn.relu6(
features, name=None
)
| Args | |
|---|---|
features | A Tensor with type float, double, int32, int64, uint8, int16, or int8. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor with the same type as features. |
References:
Convolutional Deep Belief Networks on CIFAR-10: Krizhevsky et al., 2010 (pdf)
© 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/r2.4/api_docs/python/tf/nn/relu6
