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unpackProjectedLayers

Unpack projected layers of neural network

Since R2023b

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    Syntax

    netUnpacked = unpackProjectedLayers(net)

    Description

    netUnpacked = unpackProjectedLayers(net) replaces the layers of type ProjectedLayer with the corresponding network that represents the projection.

    Examples

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    This example uses:

    Open Live Script

    Load the pretrained network in dlnetProjectedJapaneseVowels.

    load dlnetProjectedJapaneseVowels

    View the network properties.

    net
    net = 
  dlnetwork with properties:

         Layers: [4x1 nnet.cnn.layer.Layer]
    Connections: [3x2 table]
     Learnables: [9x3 table]
          State: [2x3 table]
     InputNames: {'sequenceinput'}
    OutputNames: {'softmax'}
    Initialized: 1

  View summary with summary.

    View the network layers. The network has two projected layers.

    net.Layers
    ans = 
  4x1 Layer array with layers:

     1   'sequenceinput'   Sequence Input    Sequence input with 12 dimensions
     2   'lstm'            Projected Layer   Projected LSTM with 100 hidden units
     3   'fc'              Projected Layer   Projected fully connected layer with output size 9
     4   'softmax'         Softmax           softmax

    Unpack the projected layers.

    netUnpacked = unpackProjectedLayers(net)
    netUnpacked = 
  dlnetwork with properties:

         Layers: [5x1 nnet.cnn.layer.Layer]
    Connections: [4x2 table]
     Learnables: [9x3 table]
          State: [2x3 table]
     InputNames: {'sequenceinput'}
    OutputNames: {'softmax'}
    Initialized: 1

  View summary with summary.

    View the unpacked network layers. The unpacked network has a projected LSTM layer and two fully connected layers in place of the projected layers.

    netUnpacked.Layers
    ans = 
  5x1 Layer array with layers:

     1   'sequenceinput'   Sequence Input    Sequence input with 12 dimensions
     2   'lstm'            Projected LSTM    Projected LSTM layer with 100 hidden units, an output projector size of 7, and an input projector size of 8
     3   'fc_proj_in'      Fully Connected   4 fully connected layer
     4   'fc_proj_out'     Fully Connected   9 fully connected layer
     5   'softmax'         Softmax           softmax

    Input Arguments

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    Neural network, specified as a dlnetwork object.

    Output Arguments

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    Unpacked neural network, returned as a dlnetwork object.

    Tips

    • Code generation does not support ProjectedLayer objects. To replace ProjectedLayer objects in a neural network with the equivalent neural network that represents the projection, use the unpackProjectedLayers function or set the UnpackProjectedLayers option of the compressNetworkUsingProjection function to 1 (true).

    Version History

    Introduced in R2023b

    See Also

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