Table Of Contents

Table Of Contents

gluon.nn¶

Gluon provides a large number of build-in neural network layers in the following two modules:

`mxnet.gluon.nn`
`mxnet.gluon.contrib.nn`

We group all layers in these two modules according to their categories.

Sequential containers¶

`nn.Sequential`
`nn.HybridSequential`

Basic Layers¶

`nn.Dense`
`nn.Activation`
`nn.Dropout`
`nn.Flatten`
`nn.Lambda`
`nn.HybridLambda`

Convolutional Layers¶

`nn.Conv1D`
`nn.Conv2D`
`nn.Conv3D`
`nn.Conv1DTranspose`
`nn.Conv2DTranspose`
`nn.Conv3DTranspose`

Pooling Layers¶

`nn.MaxPool1D`
`nn.MaxPool2D`
`nn.MaxPool3D`
`nn.AvgPool1D`
`nn.AvgPool2D`
`nn.AvgPool3D`
`nn.GlobalMaxPool1D`
`nn.GlobalMaxPool2D`
`nn.GlobalMaxPool3D`
`nn.GlobalAvgPool1D`
`nn.GlobalAvgPool2D`
`nn.GlobalAvgPool3D`
`nn.ReflectionPad2D`

Normalization Layers¶

`nn.BatchNorm`
`nn.InstanceNorm`
`nn.LayerNorm`

Embedding Layers¶

nn.Embedding

Advanced Activation Layers¶

`nn.LeakyReLU`
`nn.PReLU`
`nn.ELU`
`nn.SELU`
`nn.Swish`

API Reference¶

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Table Of Contents

gluon.nn

gluon.model_zoo.vision