export

datasets
- Conll05st
- Imdb
- Imikolov
- Movielens
- UCIHousing
- WMT14
- WMT16

datasets
- Cifar10
- Cifar100
- DatasetFolder
- FashionMNIST
- Flowers
- ImageFolder
- MNIST
- VOC2012
models
- LeNet
- mobilenet_v1
- mobilenet_v2
- MobileNetV1
- MobileNetV2
- ResNet
- resnet101
- resnet152
- resnet18
- resnet34
- resnet50
- VGG
- vgg11
- vgg13
- vgg16
- vgg19
ops
transforms
- adjust_brightness
- adjust_contrast
- adjust_hue
- adjust_saturation
- BaseTransform
- BrightnessTransform
- center_crop
- CenterCrop
- ColorJitter
- Compose
- ContrastTransform
- crop
- Grayscale
- hflip
- HueTransform
- Normalize
- normalize
- Pad
- pad
- RandomCrop
- RandomHorizontalFli
- RandomResizedCrop
- RandomRotation
- RandomVerticalFlip
- Resize
- resize
- rotate
- SaturationTransform
- to_grayscale
- to_tensor
- ToTensor
- Transpose
- vflip

API 指南

paddle.nn / functional / sigmoid

sigmoid¶

paddle.fluid.layers. sigmoid ( x, name=None ) ¶

sigmoid激活函数

\[out = \frac{1}{1 + e^{-x}}\]

参数¶

x Tensor - 数据类型为float32，float64。激活函数的输入值。

name (str|None) - 该层名称（可选）。若为空，则自动为该层命名。默认：None

返回¶

Tensor, 激活函数的输出值,数据类型为float32。

代码示例¶

import paddle

x = paddle.uniform(min=-3., max=3., shape=[3])
y = paddle.nn.functional.sigmoid(x)
print(x)
print(y)

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