Erick Zhou
Dear Caffe users.
I am new to caffe. I want to know if there are solutions in caffe to solve the following problem.
I want to realize the neural network establishing the relationship between the input with the dimension of <1*16> and the output with the dimension of <1*10000>. In fact, I have the detected signal with the dimension of <1*16>. The signal is corresponding to the source in a cylinder which have been segmented by finite element analysis into the dimension of <1*10000>. The distribution of the source is sparse. When I get a new signal with the dimension of <1*16>, I can get the true position of the source (<1*10000>) in the cylinder by this neural network.
Would you please give me some suggestions? Thank you very much.
Best Regards
Erick Zhou