Training a YOLOv3 network on own dataset, saving it and loading it again.
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I am working on YOLOv3 example. https://www.mathworks.com/help/vision/ug/object-detection-using-yolo-v3-deep-learning.html#ObjectDetectionUsingYOLOV3DeepLearningExample-7
I have dataset of almost 5000 images. I want to train my network(by giving it 200 images information) at one time. until it reaches a certain point after training where on testing the network it gives desired outputs.
So, when implementing this, i have to save my network so that i can load it in for next time for further training.
% This is for the time, when i have trained my yolo network for first time.
% Since i have to train again, so here i am loading this file and net will again go for training.
Will this work correctly ? For the purpose i want ? Is it possible ?