本文整理匯總了Python中tensorflow.python.ops.gen_nn_ops._relu6方法的典型用法代碼示例。如果您正苦於以下問題：Python gen_nn_ops._relu6方法的具體用法？Python gen_nn_ops._relu6怎麽用？Python gen_nn_ops._relu6使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.ops.gen_nn_ops的用法示例。
在下文中一共展示了gen_nn_ops._relu6方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: relu6
# 需要導入模塊: from tensorflow.python.ops import gen_nn_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_nn_ops import _relu6 [as 別名]
def relu6(features, name=None):
"""Computes Rectified Linear 6: `min(max(features, 0), 6)`.
Source: [Convolutional Deep Belief Networks on CIFAR-10. A. Krizhevsky](http://www.cs.utoronto.ca/~kriz/conv-cifar10-aug2010.pdf)
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`.
"""
with ops.name_scope(name, "Relu6", [features]) as name:
features = ops.convert_to_tensor(features, name="features")
return gen_nn_ops._relu6(features, name=name) 示例2: relu6
# 需要導入模塊: from tensorflow.python.ops import gen_nn_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_nn_ops import _relu6 [as 別名]
def relu6(features, name=None):
"""Computes Rectified Linear 6: `min(max(features, 0), 6)`.
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`.
"""
with ops.name_scope(name, "Relu6", [features]) as name:
features = ops.convert_to_tensor(features, name="features")
return gen_nn_ops._relu6(features, name=name)