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A very simple and intuitive neural network implementation

version 1.0 (9.02 KB) by

Short code and easy to understand. Example data set provided.

4.26667
16 Ratings

136 Downloads

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Short code and easy to understand. Example data set provided.

Comments and Ratings (21)

deepak singh

thanks that was helpful

Danish Kaleem

dao tung

dao tung

Faceless

This code on CodeForge.com may be of helpful: http://www.codeforge.com/article/243042

Eve

Eve (view profile)

Adam Walsh

Tin Phan

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

Steve Johnson

José Araujo

Jacek

Jacek (view profile)

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.

Omer

Omer (view profile)

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?
thanks

Helpful,
Cheers

Milinda

Thanks

Abdel-Razzak

Abdel-Razzak (view profile)

thanks

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