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RandomArrayLayer
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RandomArrayLayer

[Experimental]

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represents a net layer that has no input and produces a random array from the univariate distribution dist.

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uses the univariate distribution dfunc[input] for each input value.

Details and Options

Examples

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Basic Examples  (2)Summary of the most common use cases

Create a layer that draws 3 samples from a unit normal distribution:

In[1]:=1
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https://wolfram.com/xid/0e5bx4bznvwp66-jolvlg
Out[1]=1

Sample a random vector:

In[2]:=2
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https://wolfram.com/xid/0e5bx4bznvwp66-ghoqkp
Out[2]=2

Create a layer that draws samples from independent normal distributions whose means are determined by the input:

In[1]:=1
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https://wolfram.com/xid/0e5bx4bznvwp66-kumhqs
Out[1]=1

Sample a random vector with given values for the mean:

In[2]:=2
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https://wolfram.com/xid/0e5bx4bznvwp66-4lw9h0
Out[2]=2

Scope  (3)Survey of the scope of standard use cases

Arguments  (2)

Create a layer that draws real numbers from independent normal distributions whose means and standard deviations are determined by the inputs:

In[1]:=1
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https://wolfram.com/xid/0e5bx4bznvwp66-fjvemz
Out[1]=1

Sample a random vector with given values for the mean and the standard deviation of the Gaussian distribution:

In[2]:=2
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https://wolfram.com/xid/0e5bx4bznvwp66-2inh7k
Out[2]=2

Create the same layer with custom input port names:

In[3]:=3
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https://wolfram.com/xid/0e5bx4bznvwp66-0p42d7
Out[3]=3

Sample random numbers with this layer:

In[4]:=4
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https://wolfram.com/xid/0e5bx4bznvwp66-ws4qtz
Out[4]=4

Create a layer that draws integers in a given range:

In[1]:=1
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https://wolfram.com/xid/0e5bx4bznvwp66-g0o64v
Out[1]=1

Sample random integers with given upper bounds:

In[2]:=2
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https://wolfram.com/xid/0e5bx4bznvwp66-pe3xa5
Out[2]=2

Ports  (1)

Create a layer that draws a sequence of bounded integers with the same length as a given input:

In[165]:=165
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https://wolfram.com/xid/0e5bx4bznvwp66-jgyp93
Out[165]=165

Sample a sequence of integers with different given lengths:

In[2]:=2
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https://wolfram.com/xid/0e5bx4bznvwp66-ymzsh1
Out[2]=2

Applications  (2)Sample problems that can be solved with this function

Build a network that sums an array and a random vector drawn from a Gaussian distribution:

In[1]:=1
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https://wolfram.com/xid/0e5bx4bznvwp66-2pmwbz
Out[1]=1

Apply the net to a matrix:

In[2]:=2
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https://wolfram.com/xid/0e5bx4bznvwp66-g4x2dw

Apply the net to lists of different lengths:

In[3]:=3
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https://wolfram.com/xid/0e5bx4bznvwp66-iulxz8
Out[3]=3

Derive a network that adds noise to images, by attaching an input NetEncoder and an output NetDecoder:

In[4]:=4
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https://wolfram.com/xid/0e5bx4bznvwp66-eijyjq
Out[4]=4

Apply the net on an image:

In[5]:=5
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https://wolfram.com/xid/0e5bx4bznvwp66-kfrgss
Out[5]=5

Build a network that masks a vector of integers with a particular integer value, with a probability to switch a value of 0.3:

In[1]:=1
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https://wolfram.com/xid/0e5bx4bznvwp66-z79qlt
Out[1]=1

Apply the random mask to some inputs:

In[2]:=2
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https://wolfram.com/xid/0e5bx4bznvwp66-8afgrz
Out[2]=2
Wolfram Research (2020), RandomArrayLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/RandomArrayLayer.html.
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Wolfram Research (2020), RandomArrayLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/RandomArrayLayer.html.

Text

Wolfram Research (2020), RandomArrayLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/RandomArrayLayer.html.

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Wolfram Research (2020), RandomArrayLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/RandomArrayLayer.html.

CMS

Wolfram Language. 2020. "RandomArrayLayer." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/RandomArrayLayer.html.

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Wolfram Language. 2020. "RandomArrayLayer." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/RandomArrayLayer.html.

APA

Wolfram Language. (2020). RandomArrayLayer. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/RandomArrayLayer.html

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Wolfram Language. (2020). RandomArrayLayer. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/RandomArrayLayer.html

BibTeX

@misc{reference.wolfram_2025_randomarraylayer, author="Wolfram Research", title="{RandomArrayLayer}", year="2020", howpublished="\url{https://reference.wolfram.com/language/ref/RandomArrayLayer.html}", note=[Accessed: 26-March-2025 ]}

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@misc{reference.wolfram_2025_randomarraylayer, author="Wolfram Research", title="{RandomArrayLayer}", year="2020", howpublished="\url{https://reference.wolfram.com/language/ref/RandomArrayLayer.html}", note=[Accessed: 26-March-2025 ]}

BibLaTeX

@online{reference.wolfram_2025_randomarraylayer, organization={Wolfram Research}, title={RandomArrayLayer}, year={2020}, url={https://reference.wolfram.com/language/ref/RandomArrayLayer.html}, note=[Accessed: 26-March-2025 ]}

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@online{reference.wolfram_2025_randomarraylayer, organization={Wolfram Research}, title={RandomArrayLayer}, year={2020}, url={https://reference.wolfram.com/language/ref/RandomArrayLayer.html}, note=[Accessed: 26-March-2025 ]}