Do matlab has build-in mnist dataset for CNN training? If I load it as dlarray, how do I train it with CNN?
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Is the 'toolbox/nnet/nndemos/nndatasets/DigitDataset' MNIST dataset?
It just contains 1000 samples for each label.
MNIST should have 60k training and 10k testing data.
If I use the dataset downloaded and loaded by 'processImagesMNIST' in "examples/nnet/main" according to this, it gives dlarray.
It is not in the format for the imagedatastore.
My current workaround is to convert dlarray to numeric array by extractdata, and then feed it to trainNetwork function.
Any other advice?
Thanks.
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Walter Roberson
2022 年 8 月 3 日
編集済み: Walter Roberson
2022 年 8 月 5 日
No it does not. The download link is given at https://www.mathworks.com/help/deeplearning/ug/data-sets-for-deep-learning.html
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Walter Roberson
2022 年 8 月 5 日
No, if you
openExample('nnet/GeneratingHanddrawnDigitsUsingAVariationalAutoencoderVAEExample')
and then look at processImagesMNIST.m in that directory, you will see that the function reads an MNIST image and returns a 28 x 28 x 1 x something double precision value.
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