It is a project trying to reimplement ConvNetJS with modern styles (ECMAScript6, functional programming), making it's code shorter, more readable for beginners and easier to extend.

It's sure that we should never expect a neural network training in the browser doing a big deal, but it's useful for presentation and understanding.

It is still under developing.

Following is a short introduction to ConvNetJS itself:

ConvNetJS is a Javascript implementation of Neural networks, together with nice browser-based demos. It currently supports:

• Common Neural Network modules (fully connected layers, non-linearities)
• Classification (SVM/Softmax) and Regression (L2) cost functions
• Ability to specify and train Convolutional Networks that process images
• An experimental Reinforcement Learning module, based on Deep Q Learning

For much more information, see the main page at convnetjs.com

MIT