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Neural nets can learn a task by changing over time. They can even possibly relearn a task after being partially damaged. What allows them to
Neural nets can learn a task by changing over time. They can even possibly relearn a task after being partially damaged. What allows them to do this is their feature called
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parallel processing.
plasticity.
a von Neumann architecture.
a stochastic learning algorithm.
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