With TensorFlow, Google open sources its machine learning resources

Google announced TensorFlow yesterday, releasing its research and successful internal scaling of machine learning as an open source project under an Apache 2.0 license. TensorFlow will accelerate the adoption of machine learning by the thousands of creative product development teams that don’t have Google’s large-scale machine learning research resources. A good example of the implications of machine learning through interactions of humans and systems is Tesla’s Autopilot beta. As drivers interact with and correct Autopilot, drivers have reported that the guidance system self improves. Google has invested in advanced research in machine learning, applying the company’s top artificial intelligence/deep learning talent to the Google Brain Project, launched by Andrew Ng and now under John Giannandrea in conjunction with top academic labs, such as Stanford and Carnegie Mellon, to improve Google’s products. Google…

Link to Full Article: With TensorFlow, Google open sources its machine learning resources

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