With all the exciting A.I. stuff happening, there are lots of people eager to start tinkering with machine learning technology. A.I. Experiments is a showcase for simple experiments that let anyone play with this technology in hands-on ways, through pictures, drawings, language, music, and more.
We want to make it easier for any coder – whether you have a machine learning background or not – to create your own experiments. This site includes open-source code and resources to help you get started. If you make something you’d like to share, we’d love to see it and possibly add it to the showcase.
Have a look at some of the submitted experiments.
Some tools to help coders get started with machine learning.
Google’s API’s for computer vision, speech, and more. No machine learning knowledge required.
Google’s open-source library for machine learning that lets you build deep neural networks.
Run Keras models (trained using TensorFlow backend) in your browser, with GPU support.
Train neural nets entirely in your browser. No compilers, installations, or GPUs required.
Train your computer using your actions, instead of writing lines of code.
A set of Openframeworks apps and scripts for working with machine learning.
A quick look at what machine learning is all about.
A fun video explainer on deep neural nets.
A Google program that brings together artists and engineers.
An open-source, Google project exploring questions around art, music, and machine learning.
An in-progress online guide to help people get started, with interactive demos.
An exhibition and series of workshops exploring the intersection of A.I. and art.
Flow is a community of self-directed learners connecting them to global opportunities and resources through community curated knowledge sharing. Join in the community to participate in the conversations and share your queries.