title: How to randomly initialize layers in pretrained model?
body: <p>I am using Xception model with pre initialized weights trained on ImageNet as so:</p>
  <pre><code>model = keras.applications.Xception(
      weights='imagenet',
      input_shape=(150,150,3)
  )
  </code></pre>
  <p>Now I Would like to take specific layer (by its name, using <code>model.get_layer(layerName)</code>) and then <strong>reinitialize its weights to completely random one</strong>.</p>
  <p>What is the simplest way to do so, and if it is even possible?</p>