title: What does tensorflow.keras.utils.normalize actually do?
body: <p><a href="https://www.tensorflow.org/api_docs/python/tf/keras/utils/normalize" rel="nofollow noreferrer">Documentation</a> only says that it "Normalizes a Numpy array."</p>
  
  <p>By normalization I expect that it makes the <code>mean = 0</code> and standard <code>deviation = 1</code>.</p>
  
  <p>But when i run it on an array of [1,2,3], I get the following array:</p>
  
  <pre><code>[0.26726124 0.53452248 0.80178373]
  </code></pre>
  
  <p>Which has <code>mean = 0.53</code>, and <code>std = 0.21</code>.</p>
  
  <p>It would be good to know what it means by <code>normalize</code>.</p>