next

Obtain next mini-batch of data from minibatchqueue

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    Syntax

    [x1,...,xN] = next(mbq)

    Description

    [x1,...,xN] = next(mbq) returns a mini-batch of data prepared using the minibatchqueue object mbq. The function returns as many variables as the number of outputs of mbq.

    Examples

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    Create a minibatchqueue and obtain a mini-batch.

    Create a minibatchqueue from a datastore. Set the MiniBatchSize property to 2.

    auimds = augmentedImageDatastore([100 100],digitDatastore);
mbq = minibatchqueue(auimds,'MiniBatchSize',2,"MiniBatchFormat",{'SSBC','BC'})
    mbq = 
minibatchqueue with 2 outputs and properties:

   Mini-batch creation:
           MiniBatchSize: 2
        PartialMiniBatch: 'return'
            MiniBatchFcn: 'collate'
    DispatchInBackground: 0

   Outputs:
              OutputCast: {'single'  'single'}
         OutputAsDlarray: [1 1]
         MiniBatchFormat: {'SSBC'  'BC'}
       OutputEnvironment: {'auto'  'auto'}

    Use next to obtain a mini-batch. mbq has a two outputs.

    [X,Y] = next(mbq);

    X is a mini-batch containing two images from the datastore. Y contains the classification labels of those images. Check the size and data format of the mini-batch variables.

    size(X)
dims(X)
size(Y)
dims(Y)
    ans = 1×4    
   100   100     1     2
ans = 'SSCB'
ans = 1×2    
     1     2
ans = 'CB'

    Input Arguments

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    Queue of mini-batches, specified as a minibatchqueue object.

    Output Arguments

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    Mini-batch, returned as a numeric array or cell array.

    The number and type of variables returned by next depends on the configuration of mbq. The function returns as many variables as the number of outputs of mbq.

    See Also

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    Topics

    Introduced in R2020b

    Deep Learning Toolbox Documentation

    Support