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Published 20 hours ago • verified publisher icon facebookarchive

low accuracy for higher batch size

Open ghost opened this issue 6 years ago • 0 comments

Hi, I have a problem regarding the batch size. I am finetuning resnet_UCF101.caffemodel with my own data set. I tried different batch sizes(4,8,16,24) but the network is not learning. But when I changed batchsize=1 the network is learning so fast.

What is the reason for this behaviour? Is there anything wrong in my implementation ? If I use batch size=1 is the results okay or does it affect normalisation? Can somebody help me please?

ghost avatar Jun 06 '18 13:06 ghost