Changelog

Finish him!

The strong advantage of TensorFlow is it flexibility in designing highly modular models which can also be a disadvantage for beginners since a lot of the pieces must be considered together when creating the model. If you’re interested in TensorFlow, but haven’t dove in yet for one reason or another, this might be a good place to start.

Abhishek Singh isn’t deaf or mute, but that didn’t stop him from asking the question: If voice is the future of computing interfaces, what about those who cannot hear or speak? This thought led to a super cool project wherein a computer interprets sign language and speaks the results to a nearby Alexa device. Live demo here and code here.

A reimplementation of TensorFlow for Ruby. This is a ground up implementation with no dependency on TensorFlow. Effort has been made to make the programming style as near to TensorFlow as possible, comes with a pure Ruby evaluator by default with support for an opencl evaluator for large models and datasets.

a pure Python implementation of a neural-network based Go AI, using TensorFlow This is not trying to be the top Go AI program. They want to build a readable, understandable implementation that can benefit the community.