DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
-
Updated
Aug 1, 2023 - JavaScript
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Connecting Dots: Visualizing Image Recognition Using Convolutional Neural Networks
🏄 A Lightweight Web Browser-based Machine Learning Framework
AI for create paintings from images.
🧑🏻💻 Machine Learning using JavaScript
A snake game trained using simple deep learning implemented in client side javascript.
A repository containing solutions to the challenges presented in the course MIT 6.S094: Deep Learning for Self-Driving Cars
Neural network to facial expression recognition
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.
Swift port of ConvnetJS. [Work in progress]
use ConvNetJS on MNIST digits
Exploring social behavior with qLearning agents
A machine-learning experiment using ConvNetJS.
Add a description, image, and links to the convnetjs topic page so that developers can more easily learn about it.
To associate your repository with the convnetjs topic, visit your repo's landing page and select "manage topics."