Reverse Engineering traingd in ANN?
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I am sort of trying to reverse engineer traingd algorithm. dWB = param.lr * gWB is the equation shown in traingd.m, would like to understand how gWB is calculated. Any reference/example/sourcecode/backpaper in this regard is much appreciated. Thanks in advance!
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Greg Heath
2014-3-20
type traingd
% Initialize
startTime = clock;
original_net = net;
[perf,vperf,tperf,gWB,gradient] = nntraining.perfs_grad(net,data,fcns);
...
...
% Gradient Descent
dWB = param.lr * gWB;
WB = WB + dWB;
net = setwb(net,WB);
[perf,vperf,tperf,gWB,gradient] = nntraining.perfs_grad(net,data,fcns);
>> help nntraining
Neural Network Toolbox Utility Functions
This directory contains utility functions. It is recommended these functions not be used as they may be removed or altered in future versions of this software.
So, search for the directory containing utility functions
Hope this help.
Thank you for formally accepting my answer
Greg
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2014-3-28
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