deep-learning-with-python-notebooks 3.7 example z-score compute

3.7 example z-score compute

Open david-sail opened this issue 5 years ago • 2 comments

mean = train_data.mean(axis=0) train_data -= mean std = train_data.std(axis=0) train_data /= std

test_data -= mean test_data /= std

modify

mean = train_data.mean(axis=0) std = train_data.std(axis=0) train_data -= mean train_data /= std

test_data -= mean test_data /= std

Jul 08 '19 07:07 david-sail

Think there's no needing in this. Maybe even operation std will be executed faster on data obtained by mean since std will be use zero subtract operation to find the mean.

Jul 08 '19 07:07 chamecall

V[X+c] = V[X], where c is a constant value

Jul 10 '19 01:07 happyTonakai

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3.7 example z-score compute

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