Google pushes the machine learning cloud platform to the public

Google opens machine learning cloud platform for developers

On March 24th, Eric Schmidt, chairman of Google's parent company, Alphabet, announced today that Google will open a cloud machine learning platform for developers. The platform has previously been used in services such as Google Photos, Google Translate, and Inbox.

At the Google Cloud Computing Platform Conference NEXT 2016 in San Francisco today, Eric Schmidt said that machine learning is "Next." Google's deployment in this area includes not only the well-known but not well-known AlphaGo, but also many features that have been integrated into people's lives, such as image search in Google Photos, speech recognition technology in APP, and smart reply in Inbox.

Google opens machine learning cloud platform for developers

The platform will provide developers with two services: allowing developers to build machine learning models with their own data and provide developers with "pre-trained" models. Developers can develop through Google's many services such as Cloud Dataflow, BigQuery, Cloud Storage and Cloud Datalab.

Among them, the "pre-training" model includes, in addition to existing APIs such as Google Translate API and Cloud Vision API, a voice recognition API service, which provides services such as voice recognition, input and search, and supports voices in more than 80 languages. Translate text translation service. Through this platform, developers can add these features to the products they develop. The platform currently offers previews for some developers.

Google opens machine learning cloud platform for developers

In fact, Google is not the first large company to open a cloud machine learning platform. Microsoft and Amazon previously released their own cloud computing platforms Microsoft Azure and Amazon Web Services. With the entry of the three giants in the field, many insiders believe that such services will be popular among developers in the next few years, and consumers will feel that the applications in their hands become more "tact". (Technologist reporter Xiao Yan from the United States)

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