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Can the New Test Data be looped into the Training Data after being Classified by the CNN model?
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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
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:
Hope this helps!
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Harsha Priya Daggubati
2020-7-27
Yeah, to my knowledge your network would be retrained using mostly similar datasets.
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