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Wolfram Language & System Documentation Center
SequenceReverseLayer
  • See Also
    • SequenceMostLayer
    • SequenceRestLayer
    • SequenceLastLayer
    • NetBidirectionalOperator
    • NetMapOperator
    • BasicRecurrentLayer
  • Related Guides
    • Neural Network Layers
  • Tech Notes
    • Neural Networks in the Wolfram Language
    • See Also
      • SequenceMostLayer
      • SequenceRestLayer
      • SequenceLastLayer
      • NetBidirectionalOperator
      • NetMapOperator
      • BasicRecurrentLayer
    • Related Guides
      • Neural Network Layers
    • Tech Notes
      • Neural Networks in the Wolfram Language

SequenceReverseLayer[]

represents a net that reverses the order of an input sequence.

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Applications  
Possible Issues  
See Also
Tech Notes
Related Guides
History
Cite this Page
BUILT-IN SYMBOL
  • See Also
    • SequenceMostLayer
    • SequenceRestLayer
    • SequenceLastLayer
    • NetBidirectionalOperator
    • NetMapOperator
    • BasicRecurrentLayer
  • Related Guides
    • Neural Network Layers
  • Tech Notes
    • Neural Networks in the Wolfram Language
    • See Also
      • SequenceMostLayer
      • SequenceRestLayer
      • SequenceLastLayer
      • NetBidirectionalOperator
      • NetMapOperator
      • BasicRecurrentLayer
    • Related Guides
      • Neural Network Layers
    • Tech Notes
      • Neural Networks in the Wolfram Language

SequenceReverseLayer

SequenceReverseLayer[]

represents a net that reverses the order of an input sequence.

Details and Options

  • SequenceReverseLayer[] represents a net that takes a sequence of arrays and outputs a sequence of the same length.
  • SequenceReverseLayer[…][input] explicitly computes the output from applying the layer.
  • SequenceReverseLayer[…][{input1,input2,…}] explicitly computes an output for each of the inputi.
  • When given a NumericArray as input, the output will be a NumericArray.
  • SequenceReverseLayer is typically used inside NetChain, NetGraph, etc.
  • The input and output ports of the net represented by SequenceReverseLayer[] are:
  • "Input"a sequence of n arrays
    "Output"a sequence of n arrays
  • SequenceReverseLayer["Input"shape] allows the shape of the input to be specified. Possible forms for shape are:
  • na sequence of n numbers
    "Varying"a sequence of numbers of varying length
    {len,d1,d2,…}sequence of len arrays of dimensions d1×d2×…
    {"Varying",d1,d2,…}varying number of arrays of dimensions d1×d2×…
  • Options[SequenceReverseLayer] gives the list of default options to construct the layer. Options[SequenceReverseLayer[…]] gives the list of default options to evaluate the layer on some data.
  • Information[SequenceReverseLayer[…]] gives a report about the layer.
  • Information[SequenceReverseLayer[…],prop] gives the value of the property prop of SequenceReverseLayer[…]. Possible properties are the same as for NetGraph.

Examples

open all close all

Basic Examples  (2)

Create a SequenceReverseLayer:

Create a SequenceReverseLayer that expects a sequence of vectors of size 3:

Apply the layer to a sequence of vectors:

Scope  (3)

Create a SequenceReverseLayer that expects a length-3 sequence of 2×2 matrices:

Apply the layer to a sequence:

Create a SequenceReverseLayer that expects a sequence of real numbers:

Thread the layer across a batch of inputs:

Create a SequenceReverseLayer that reverses the order of color channels in an image:

Apply it to an image:

Applications  (1)

Define a bidirectional BasicRecurrentLayer:

NetBidirectionalOperator can be used to accomplish the same thing:

Possible Issues  (1)

SequenceReverseLayer cannot accept symbolic inputs:

See Also

SequenceMostLayer  SequenceRestLayer  SequenceLastLayer  NetBidirectionalOperator  NetMapOperator  BasicRecurrentLayer

Tech Notes

    ▪
  • Neural Networks in the Wolfram Language

Related Guides

    ▪
  • Neural Network Layers

History

Introduced in 2017 (11.1)

Wolfram Research (2017), SequenceReverseLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/SequenceReverseLayer.html.

Text

Wolfram Research (2017), SequenceReverseLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/SequenceReverseLayer.html.

CMS

Wolfram Language. 2017. "SequenceReverseLayer." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/SequenceReverseLayer.html.

APA

Wolfram Language. (2017). SequenceReverseLayer. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/SequenceReverseLayer.html

BibTeX

@misc{reference.wolfram_2025_sequencereverselayer, author="Wolfram Research", title="{SequenceReverseLayer}", year="2017", howpublished="\url{https://reference.wolfram.com/language/ref/SequenceReverseLayer.html}", note=[Accessed: 01-December-2025]}

BibLaTeX

@online{reference.wolfram_2025_sequencereverselayer, organization={Wolfram Research}, title={SequenceReverseLayer}, year={2017}, url={https://reference.wolfram.com/language/ref/SequenceReverseLayer.html}, note=[Accessed: 01-December-2025]}

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