This demo that treats the pixels of an image as a learning problem: it takes the (x,y) position on a grid and learns to predict the color at that point using regression to (r,g,b).
Note that the entire ConvNetJS definition is shown in textbox below and it gets eval()'d to create the network.
Choose your own image:
Original Image
Neural Network output
Learning rate:
The learning rate should probably be decreased over time (slide left) to let the network better overfit the training data. It's nice to not have to worry about overfitting. You can upload your own image above (click Choose File).