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tf.nn.relu6

TensorFlow 1 version View source on GitHub

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

Aliases:

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

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.