CODEWITHSUNDEEP
pythontensorflowkeras
Nikola Dim
Nikola Dim

Reputation: 846

What does tensorflow.keras.utils.normalize actually do?

Documentation only says that it "Normalizes a Numpy array."

By normalization I expect that it makes the mean = 0 and standard deviation = 1.

But when i run it on an array of [1,2,3], I get the following array:

[0.26726124 0.53452248 0.80178373]

Which has mean = 0.53, and std = 0.21.

It would be good to know what it means by normalize.

Upvotes: 4

Views: 1149

Answers (1)

uniglot
uniglot

Reputation: 164

It means it L2-normalizes the given array, i.e., it makes the sum of squares of each element of the array to be equal to one. You can find more information about L2-normalization by googling it.

Upvotes: 2

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