Update README.md

README.md

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-license: mit
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-
-## 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.
-
-
+---
+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.