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Computes Rectified Linear 6: min(max(features, 0), 6)
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tf.nn.relu6( features, name=None )
Args | |
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features | A Tensor with type float , double , int32 , int64 , uint8 , int16 , or int8 . |
name | A name for the operation (optional). |
Returns | |
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A Tensor with the same type as features . |
Convolutional Deep Belief Networks on CIFAR-10: Krizhevsky et al., 2010 (pdf)
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/nn/relu6