Short code and easy to understand. Example data set provided.
Hi. Do you think you can help me with a Neural Network approach on Generalized Singular Value Decomposition? Thanks
thanks that was helpful
Could you explain to me how n and the function f is chosen? And also the bias too?
Any reference would be much appreciated!
It seems that your code does not account account for the bias. In a book I read they say you should include an input variable which is clamped to 1. Can you please clarify on that? Thank you very much
Can you please give a short description of this problem being solved and meaning of this example data? So we could understand what is the input, what is the output, what are the values od "y" being calculated...? And most importantly, what is the topology, and how propagation works.
instead of rms error. How can I optimize this error:
( fp/(fp+tn) ) + ( fn/(fn+tp) );
sorry i don't have any access to this file,could you pl help me in this way?