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Stacking enough swap layers would eventually sort the array since each pair of swap layers will fix at least one inversion and there are at most $nC2$$^{n}C_2$ inversions.
Stacking enough swap layers would eventually sort the array since each pair of swap layers will fix at least one inversion and there are at most $nC2$ inversions.
Stacking enough swap layers would eventually sort the array since each pair of swap layers will fix at least one inversion and there are at most $^{n}C_2$ inversions.
LinearReLU activations will not work forcan't pass negative numbers but you can use ReLU if you assume that a large positive number has been added to the inputs to make them all positive and then subtracted out at the output.
Linear activations will not work for negative numbers but you can use ReLU if you assume that a large positive number has been added to the inputs to make them all positive and then subtracted out at the output.
ReLU activations can't pass negative numbers but you can use ReLU if you assume that a large positive number has been added to the inputs to make them all positive and then subtracted out at the output.
Linear activations will not work for negative numbers but you can use ReLU if you assume that a large positive number has been added to the input via the biasinputs to make them all positive and then subtracted out at the output with another layer.
Linear activations will not work for negative numbers but you can use ReLU if you assume that a large positive number has been added to the input via the bias and then subtracted at the output with another layer.
Linear activations will not work for negative numbers but you can use ReLU if you assume that a large positive number has been added to the inputs to make them all positive and then subtracted out at the output.
