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I'm training my classifier on 20k images but every week I get more new pictures so I want to incrementally train my previous model(last stopped iteration) instead of retraining 20k+new_images on all the images again which is a waste of time and compute
I'm training my classifier on 20k images but every week I get more new pictures so I want to incrementally train my previous model(last stopped iteration) instead of retraining 20k+new_images on all the images again which is a waste of time and compute
I figured out incremental training with Yolo but can't seem to find anything for MobileNet-SSD caffe implemented here https://github.com/chuanqi305/MobileNet-SSD
To understand more about what I'm talking about refer to this:
How to do incremental training on the basis of yolov3.weights & answer to this mention here:
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