I have the following convolutional model implemented in Keras, where after training for 100,000 epoch, it shows excellent performance with greate accuracy.
However after trying to implement the same model in Caffe, it fails to train with an almost fixed loss value >=2.1 && <=2.6. Here is my Caffe prototext implementation:
I believe that if i have no problem translating the model into Caffe, then it should performs the same way it do in Keras, so i think i had missed something. Any help would be appreciated, thanks.
I have the following convolutional model implemented in Keras, where after training for 100,000 epoch, it shows excellent performance with greate accuracy.
However after trying to implement the same model in Caffe, it fails to train with an almost fixed loss value >=2.1 && <=2.6. Here is my Caffe prototext implementation:
And here is my model solver (hyper-parameters):
I believe that if i have no problem translating the model into Caffe, then it should performs the same way it do in Keras, so i think i had missed something. Any help would be appreciated, thanks.