本文整理匯總了Python中tensorflow.python.ops.gen_math_ops._sigmoid方法的典型用法代碼示例。如果您正苦於以下問題：Python gen_math_ops._sigmoid方法的具體用法？Python gen_math_ops._sigmoid怎麽用？Python gen_math_ops._sigmoid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_math_ops的用法示例。
在下文中一共展示了gen_math_ops._sigmoid方法的3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: sigmoid
# 需要導入模塊: from tensorflow.python.ops import gen_math_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_math_ops import _sigmoid [as 別名]
def sigmoid(x, name=None):
"""Computes sigmoid of `x` element-wise.
Specifically, `y = 1 / (1 + exp(-x))`.
Args:
x: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
or `qint32`.
name: A name for the operation (optional).
Returns:
A Tensor with the same type as `x` if `x.dtype != qint32`
otherwise the return type is `quint8`.
@compatibility(numpy)
Equivalent to np.scipy.special.expit
@end_compatibility
"""
with ops.name_scope(name, "Sigmoid", [x]) as name:
x = ops.convert_to_tensor(x, name="x")
return gen_math_ops._sigmoid(x, name=name) 示例2: sigmoid
# 需要導入模塊: from tensorflow.python.ops import gen_math_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_math_ops import _sigmoid [as 別名]
def sigmoid(x, name=None):
"""Computes sigmoid of `x` element-wise.
Specifically, `y = 1 / (1 + exp(-x))`.
Args:
x: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
or `qint32`.
name: A name for the operation (optional).
Returns:
A Tensor with the same type as `x` if `x.dtype != qint32`
otherwise the return type is `quint8`.
"""
with ops.name_scope(name, "Sigmoid", [x]) as name:
x = ops.convert_to_tensor(x, name="x")
return gen_math_ops._sigmoid(x, name=name) 示例3: sigmoid
# 需要導入模塊: from tensorflow.python.ops import gen_math_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_math_ops import _sigmoid [as 別名]
def sigmoid(x, name=None):
"""Computes sigmoid of `x` element-wise.
Specifically, `y = 1 / (1 + exp(-x))`.
Args:
x: A Tensor with type `float16`, `float32`, `float64`, `complex64`,
or `complex128`.
name: A name for the operation (optional).
Returns:
A Tensor with the same type as `x`.
@compatibility(numpy)
Equivalent to np.scipy.special.expit
@end_compatibility
"""
with ops.name_scope(name, "Sigmoid", [x]) as name:
x = ops.convert_to_tensor(x, name="x")
return gen_math_ops._sigmoid(x, name=name) 開發者ID:PacktPublishing，項目名稱:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代碼行數:22，代碼來源:math_ops.py