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So it multiplies it by this parameter gamma which is going to be trained by gradient descent. um and uh it's often called the gain uh parameter of uh uh
batch normization and it adds a bias beta and the reason is that if I'm subtracting by the mean then each of these units have the bias parameter. So
if I subtract it then this essentially here there's no bias anymore. It was present here it was present here and now it's been subtracted. So I have to add
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