2015-03-23 18:28:29 +00:00
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#include <iostream>
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#include <exception>
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2015-10-22 14:03:10 +00:00
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#include <algorithm>
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2015-03-23 18:28:29 +00:00
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#include "Net.h"
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int main()
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{
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try
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{
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std::cout << "Neuro running" << std::endl;
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2015-10-22 14:03:10 +00:00
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Net myNet({ 2, 3, 1 });
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2015-03-23 18:28:29 +00:00
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2015-10-22 20:09:35 +00:00
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size_t numIterations = 10000;
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for (size_t iteration = 0; iteration < numIterations; ++iteration)
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2015-10-17 20:05:27 +00:00
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{
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2015-10-22 20:09:35 +00:00
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std::vector<double> inputValues =
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{
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std::rand() / (double)RAND_MAX,
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std::rand() / (double)RAND_MAX
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};
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2015-10-18 20:05:18 +00:00
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2015-10-22 20:09:35 +00:00
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std::vector<double> targetValues =
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{
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*std::max_element(inputValues.begin(), inputValues.end())
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};
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2015-10-18 20:05:18 +00:00
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2015-10-22 20:09:35 +00:00
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myNet.feedForward(inputValues);
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2015-10-15 17:18:26 +00:00
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2015-10-22 20:09:35 +00:00
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std::vector<double> outputValues = myNet.getOutput();
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2015-03-23 18:28:29 +00:00
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2015-10-22 20:09:35 +00:00
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double error = outputValues[0] - targetValues[0];
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2015-10-18 20:05:18 +00:00
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2015-10-22 20:09:35 +00:00
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std::cout << "Error: ";
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std::cout << std::abs(error);
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std::cout << std::endl;
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2015-10-15 17:18:26 +00:00
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2015-10-22 20:09:35 +00:00
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myNet.backProp(targetValues);
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}
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2015-03-23 18:28:29 +00:00
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}
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catch (std::exception &ex)
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{
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std::cerr << "Error: " << ex.what() << std::endl;
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return 1;
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}
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return 0;
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}
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