readme: ---
  license: mit
  tags: 
  - image-to-image
  ---
  
  ## Notes
  * This model is a trained version of the Keras Tutorial [Image Super Resolution](https://keras.io/examples/vision/super_resolution_sub_pixel/) 
  * The model has been trained on inputs of dimension 100x100 and outputs images of 300x300.
  
  
  [Link to a pyimagesearch](https://www.pyimagesearch.com/2021/09/27/pixel-shuffle-super-resolution-with-tensorflow-keras-and-deep-learning/) tutorial I worked on, where we have used Residual blocks along with the Efficient sub pixel net.