title: Adding a rescaling layer (or any layer for that matter) to a trained tensorflow keras model
body: <p>I have a tensorflow keras model trained with tensorflow 2.3. The model takes as input an image, however the model was trained with scaled inputs and therefore we have to scale the image by 255 before inputting them into the model.</p>
  <p>As we use this model across a variety of platforms, I am trying to simplify this by modifying the model to simply insert a rescale layer at the start of the keras model (i.e. immediately after the input). Therefore any future consumption of this model can simply pass an image without having to scale them.</p>
  <p>I am having a lot of trouble getting this to work. I understand I need to use the following function to create a rescaling layer;</p>
  <p><code>tf.keras.layers.experimental.preprocessing.Rescaling(255, 0.0, &quot;rescaling&quot;)</code></p>
  <p>But I am unsure how to insert this to the start of the model.</p>
  <p>Thank you in advance</p>