A machine-learning experiment using ConvNetJS.
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Updated
Oct 13, 2015 - JavaScript
A machine-learning experiment using ConvNetJS.
Exploring social behavior with qLearning agents
use ConvNetJS on MNIST digits
Swift port of ConvnetJS. [Work in progress]
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.
Neural network to facial expression recognition
A repository containing solutions to the challenges presented in the course MIT 6.S094: Deep Learning for Self-Driving Cars
A snake game trained using simple deep learning implemented in client side javascript.
🧑🏻💻 Machine Learning using JavaScript
AI for create paintings from images.
🏄 A Lightweight Web Browser-based Machine Learning Framework
Connecting Dots: Visualizing Image Recognition Using Convolutional Neural Networks
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
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