DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

A snake game trained using simple deep learning implemented in client side javascript.

Swift port of ConvnetJS. [Work in progress]

🤖CNN卷积神经网络 实现汽车🚘logo图像识别

AI for create paintings from images.

Connecting Dots: Visualizing Image Recognition Using Convolutional Neural Networks

使用CIFAR-10数据集✈️🚗🐦🐈🦌🐶🐸🐎🚢🚛在浏览器训卷积神经网络

🏄 A Lightweight Web Browser-based Machine Learning Framework

A repository containing solutions to the challenges presented in the course MIT 6.S094: Deep Learning for Self-Driving Cars

use ConvNetJS on MNIST digits

A machine-learning experiment using ConvNetJS.

Neural network to facial expression recognition

🧑🏻‍💻 Machine Learning using JavaScript

Exploring social behavior with qLearning agents

DeepTraffic is a gamified simulation of typical highway traffic. The task is to build a neural agent – more specifically design and train a neural network that performs well on high traffic roads. The neural network controls one of the cars and learns how to navigate efficiently to go as fast as possible.

Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.