How to quantize a Sequence classification network in Matlab using calibrate

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Kevin
Kevin 2022-12-6
评论： Dhananjay Kumar 2023-7-17
I used this network as a basic for my own Sequence classification network:
https://de.mathworks.com/help/deeplearning/ug/sequence-classification-using-1-d-convolutions.html
I used dlquantizer to quantize my network
quantObj = dlquantizer(net)
Now i want to use calibrate
calResults = calibrate(quantObj,XValidation);
but it gives me the error "scalare structure required" If i use
calResults = calibrate(quantObj,TValidation);
it outputs me the error "Datastore must be either an imageDatastore, augmentedImageDatastore, TransformedDatastore, PixelLabelImageDatastore or CombinedDatastore."
How can I load the Calibrationdata?
TValidation and XValidation are 370x1 cell with Validation Data
  1 个评论
Dhananjay Kumar
Dhananjay Kumar 2023-7-17
Hi Kevin , calibrate API is enhanced in R2023b to support a lot more types of input data. You should be able to do that in R2023b.
https://www.mathworks.com/downloads/prerelease/

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