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Re: Start up help request

by fcummins :: Rate this Message:

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Update:  I have discovered that one can create a BP-network as a specific type of subnetwork, and then there is a training option that requests input and output files.  

Training seems wrong to me though.  On a simple 2-2-1 network, training on XOR, with a learning rate of 0.9 and some momentum, the network is taking ages (literally millions) of iterations to get anywhere, and it still isn't solving XOR.  The error appears briefly on screen, but doesn't seem to be logged anywhere.  I have trained networks with these parameters many times, and the solution should be reached quickly.  

To test the network, I open the input patterns as a data world, and step through them by clicking on each pattern in turn.  But this is again not logged and also cumbersome.  Is there a formal testing mechanism that will cycle through the input patterns and produce some quantitative overview of how the network is performing?

All help welcome.

Fred

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