Dylan
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Dylan
When I run the bcnn_finetuning.py,and the following error occurs.My category is 134 classes. `InvalidArgumentError (see above for traceback): logits and labels must be same size: logits_size=[4,134] labels_size=[16,134] [[Node: SoftmaxCrossEntropyWithLogitsSoftmaxCrossEntropyWithLogits[T=DT_FLOAT, _device="/job:loc...
When using your program,with a learning rate of 0.1, loss is ‘nan’, when I change the learning rate to 0.001, loss changes normally. I don't know why ? According to...