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tf.nn.relu6

tf.nn.relu6(
    features,
    name=None
)

Defined in tensorflow/python/ops/nn_ops.py.

See the guides: Layers (contrib) > Higher level ops for building neural network layers, Neural Network > Activation Functions

Computes Rectified Linear 6: min(max(features, 0), 6).

Source: Convolutional Deep Belief Networks on CIFAR-10. A. Krizhevsky

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.

© 2018 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/api_docs/python/tf/nn/relu6