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View Code? Open in Web Editor NEWA tool that evolves small brains capable of scanning and classifying an image.
A tool that evolves small brains capable of scanning and classifying an image.
Currently, we subset the MNIST training set down to 100 instances of each class. This is because it takes too long to train on the entire training set. However, it may be better to use lexicase selection, which will likely require fewer evaluations per generation.
It works as follows:
Each round, randomize the order of the MNIST training set
Evaluate all remaining classifiers on the next training instance
"Eliminate" all classifiers that failed to classify 2)
correctly -- they lose their chance to reproduce in this round
Repeat steps 2)
-3)
until only one classifier remains in contention. If all remaining classifiers get eliminated at once, choose one classifier randomly from the remaining classifiers in the last step of the round.
The last remaining classifier asexually reproduces one offspring into the next generation.
Repeat steps 1)
through 5)
until the new population is fully created.
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