Some points to help your article

Hi Amin, Here are a few suggestions that I feel might help your page:

• Change the “Title” itself to “Colourizing grayscale images using deep learning and neural network”. You could do this by editing the topmost edit.
• Fill up the Abstract, “Builds On” and “Related To” page. Maybe, builds on could be the wiki link to Deep Learning, Neural Network, CNN. Your introduction section could fill up the Abstract section. It could explain in brief about the two papers of your choice.
• You could reword this: “Choosing reasonable colors for the computer is a challenging task” as “The same task of choosing colors is very challenging for a computer”.
• How many channels are there in CEILAB? What is their significance?
• In the section “Objective Function”, what does R indicate? What is the intuition of Y? You could clearly mention what the two Y’s are when you calculate the loss. What is the loss used for? Why is the colorization problem multimodal? What does a grid of space mean in terms of an image? What does Q=312 indicate? What is Q? What does “in-gamut” mean? How does Regression, classification, classification with rebal mean? How is ground truth identified? Is ground truth used in training from some database?
• It is unclear what your two papers were. What is the incremental addition/problem that was solved by paper 2.

Cheers!