本文整理汇总了Python中tensorflow.python.ops.gen_nn_ops._relu6方法的典型用法代码示例。如果您正苦于以下问题：Python gen_nn_ops._relu6方法的具体用法？Python gen_nn_ops._relu6怎么用？Python gen_nn_ops._relu6使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类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个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: relu6
# 需要导入模块: from tensorflow.python.ops import gen_nn_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_nn_ops import _relu6 [as 别名]
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
# 需要导入模块: from tensorflow.python.ops import gen_nn_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_nn_ops import _relu6 [as 别名]
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)