title: Freezing of BERT layers while using tfhub module
body: <p>In this link <a href="https://medium.com/@prasad.pai/how-to-use-tensorflow-hub-with-code-examples-9100edec29af" rel="nofollow noreferrer">click here</a> the author says that:</p>
  
  <pre><code>import tensorflow_hub as hub
  module = hub.Module(&lt;&lt;Module URL as string&gt;&gt;, trainable=True)
  </code></pre>
  
  <p>If user wishes to fine-tune/modify the weights of the model, this parameter has to be set as True.
  So my doubt is if I set this to false does it mean that I am freezing all the layers of the BERT which is my intension too. I want to know if my approach is right.</p>