Dropout

Value parameters

inplace

– If set to True, will do this operation in-place. Default: false

p

– probability of an element to be zeroed. Default: 0.5

Attributes

See also

See Pytorch C++ Embedding

See Pytorch Python Dropout

See https://pytorch.org/docs/master/nn.html#torch.nn.Dropout

See https://pytorch.org/docs/master/nn.html#torch.nn.Dropout2d

See https://pytorch.org/docs/master/nn.html#torch.nn.Dropout3d

See https://pytorch.org/docs/stable/generated/torch.nn.functional.dropout.html#torch-nn-functional-dropout TODO: https://pytorch.org/docs/master/nn.html#torch.nn.Dropout Add 2D, 3D, Alpha and feature alpha versions

Example

import torch.nn
val m = nn.Dropout(p=0.2)
val input = torch.randn(20, 16)
val output = m(input)

Source

Dropout.scala

Graph

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Supertypes

trait TensorModule[ParamType]

trait Tensor[ParamType] => Tensor[ParamType]

trait HasParams[ParamType]

class Module

class Object

trait Matchable

class Any

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