Very slow convergence with CNN [closed]
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01-11-2019 - |
Question
I am new to deep learning. I am working on training an SSD model on a set of small objects. I am using Adam gradient descent for optimization and a large input (800x800), but I seem to only get an improvement of 0.010 after every 20 or so epochs(350 steps).
What can I do or look for to speed up convergence on this model?
No correct solution
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