This class is main benchmark driver.
This is an example how to use Neuroph microbenchmarking framework
This class is an abstract base class for specific microbenchmarking tasks
This class holds benchmarking results, elapsed times for all iterations and various statistics min, max, avg times and standard deviation
This class is example of custom benchmarking task for Multi Layer Perceptorn network Note that this benchmark only measures the speed at implementation level - the speed of data flow forward and backward through network
A class to help benchmark code, it simulates a real stop watch.
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