tf.nn.relu6

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

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.