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.