With TensorFlow Google Open Sources Its Machine Learning Resources

Google has announced the open source release of TensorFlow, its machine learning software library. "Tensor-flow has extensive built-in support for deep learning, but is far more general than that -- any computation that you can express as a computational flow graph, you can compute with Tensor-flow (see some examples). Any gradient-based machine learning algorithm will benefit from Tensor-Flow’s auto-differentiation and suite of first-rate optimizers. And it’s easy to express your new ideas in Tensor-Flow via the flexible Python interface." This comes alongside some dramatic speed increases (PDF). The code is available at GitHub under an Apache 2.0 license. "Deep learning, machine learning, and artificial intelligence are all some of Google's core competencies, where the company leads Apple and Microsoft. If successful, Google's strategy is to maintain this lead by putting its technology out in the open to improve it based on large-scale adoption and code contributions from the community at large.