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 / ThresholdedReLU

ThresholdedReLU¶

class paddle.nn. ThresholdedReLU ( threshold=1.0, name=None ) [源代码] ¶

Thresholded ReLU激活层

\[\begin{split}ThresholdedReLU(x) = \begin{cases} x, \text{if } x > threshold \\ 0, \text{otherwise} \end{cases}\end{split}\]

其中，\(x\) 为输入的 Tensor

参数¶

threshold (float, 可选) - ThresholdedReLU激活计算公式中的threshold值。默认值为1.0。

name (str, 可选) - 操作的名称(可选，默认值为None）。更多信息请参见 Name。

形状:¶

input: 任意形状的Tensor。

output: 和input具有相同形状的Tensor。

代码示例¶

import paddle
import numpy as np

x = paddle.to_tensor(np.array([2., 0., 1.]))
m = paddle.nn.ThresholdedReLU()
out = m(x) # [2., 0., 0.]

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