Google uses TensorFlow to train its neural networks faster and improve products, but is looking for a developer boost. By open-sourcing TensorFlow, Google is looking to make its machine learning system more widely adopted.
We hope this will let the machine learning community--everyone from academic researchers, to engineers, to hobbyists--exchange ideas much more quickly, through working code rather than just research papers. And that, in turn, will accelerate research on machine learning, in the end making technology work better for everyone. Bonus: TensorFlow is for more than just machine learning. It may be useful wherever researchers are trying to make sense of very complex data--everything from protein folding to crunching astronomy data.