Got the first part of my training algorithm implemented today. Looking at reading information about the topology of the net from a config file. This might include variables such as the number of layers, number of neurons in each layer, paths to training data files and net storage XML files. I need to ensure that my current functions for constructing the net allow for scaling the number of layers which might mean a modification of the net structure.
I plan to finish the back propogation training algorithm this week and get stuck in to the Bayesian net code asap.
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