By Brad Svee, Staff Cloud Solutions Architect
With all the buzz around Machine Learning as of late, it’s no surprise that companies are starting to experiment with their own ML models, and a lot of them are choosing TensorFlow. Because TensorFlow is open source, you can run it locally to quickly create prototypes and deploy fail-fast experiments that help you get your proof-of-concept working at a small scale.
Building on Amazon's Peritor purchase last year, the company is to hire more than 70 engineers in Berlin and Dresden to work on various cloud management and machine learning technologies.
Google today announced at its GCP NEXT conference in San Francisco a new service called Cloud Machine Learning in a limited preview. The tool relies on the TensorFlow machine learning library that Google open-sourced a few months ag...
Google today announced that it has open-sourced TensorFlow Serving, a piece of software that makes it easy to deploy machine learning models that can make inferences about new data. The software, which is available on GitHub, works ...
Amy Unruh demonstrates Google Cloud machine learning APIs and highlights OSS TensorFlow models. Continue reading Machine learning on Google Cloud Platform.