Image Super-Resolution using CNN with Keras in Python

1. Understand the fundamentals of Efficient Sub-pixel Convolutional Neural Network (CNN)
2. Build and train a the super-resolution model using Keras with Tensorflow as a backend using Google Colab
3. Assess the performance of trained model
4. Learn to use the trained model to predict the high-resolution image of a new set of image data