What does the ‘k’ stand for in k-nearest-neighbors?

After training a neural network with Batch Norm, at test time, to evaluate the neural network on a new example you should:  Skip the step where you normalize using μ and  since a single test example cannot be normalized.  If you implemented Batch Norm on mini-batches of (say) 256 examples, then to evaluate on one test…

Which of these statements about mini-batch gradient descent do you agree with? One iteration of mini-batch gradient descent (computing on a single mini-batch) is faster than one iteration of batch gradient descent.  Training one epoch (one pass through the training set) using mini-batch gradient descent is faster than training one epoch using batch gradient descent. …