Can the New Test Data be looped into the Training Data after being Classified by the CNN model?

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Vinay Chawla 2020-7-24

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关闭： MATLAB Answer Bot 2021-8-20

Hello,

I am working on a CNN model but I have a limited dataset to work with. I was wondering if there is a chance that after training the CNN model on a specific number of images, when I test it against a new set of images, these new classified images can be looped into the training set. So that when the model is run again it trains with these new images as a part of the training data set.

Thanks in advance.

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Harsha Priya Daggubati 2020-7-27

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Hi,

It is generally advised to keep training and test sets explicit. I can think of one possible workaround, since your dataset is of images, you can augment your dataset using 'imageDataAugmenter' and create an augmentedImageDatastore using it to train your network.

Take a look at these links for more details:

https://www.mathworks.com/help/deeplearning/ug/preprocess-images-for-deep-learning.html#mw_ef499675-d7a0-4e77-8741-ea5801695193

https://www.mathworks.com/help/deeplearning/ref/imagedataaugmenter.html

https://www.mathworks.com/help/deeplearning/ref/augmentedimagedatastore.html

Hope this helps!