Small backprop optimization, fix gym.h #16
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Instead of averaging every parameter's gradient at the end, just average the output gradient at the start, reducing the number of divisions. This is equivalent because the `1/n` term propagates backwards to all the gradients.
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Instead of averaging every parameter's gradient at the end, just average the output gradient at the start, reducing the number of divisions. This is equivalent because the
1/nterm propagates backwards to all the gradients.