Google Introduces Cloud AutoML

Google Cloud AutoML

Last week the Google Cloud AI team announced an alpha of Cloud AutoML for image recognition. In 2017, they introduced Google Cloud Machine Learning Engine, to help developers with machine learning expertise easily build ML models that work on any type of data, of any size.

Google has been rapidly innovating with modern machine learning cloud services, i.e., APIs—including VisionSpeechNLPTranslation and Dialogflow— that can be built upon pre-trained models to bring unmatched scale and speed to business applications. Currently over 10,000 businesses are using Google Cloud AI services, including companies like BoxRolls Royce MarineKewpie and Ocado.

While Google has offered pre-trained machine learning models via APIs that perform specific tasks, there’s still a steep learning curve when it comes to developing new predictive models to bring AI to everyone. To close that gap, and Google is making AI accessible to every business via Cloud AutoML. Cloud AutoML helps businesses with limited ML expertise start building their own high-quality custom models by using advanced techniques like learning2learn and transfer learning from Google. For AI experts, Google Cloud AutoML is can be used to increase productivity.

Google’s first Cloud AutoML release will be Cloud AutoML Vision, a service that makes it faster and easier to create custom ML models for image recognition. It’s drag-and-drop interface lets you easily upload images, train and manage models, and then deploy those trained models directly on Google Cloud. Early results using Cloud AutoML Vision to classify popular public datasets like ImageNet and CIFAR have shown more accurate results with fewer misclassifications than generic ML APIs.

Cloud AutoML Vision features include:

  • Increased accuracy: Cloud AutoML Vision is built on Google’s leading image recognition approaches, including transfer learning and neural architecture search technologies for improved accuracy.
  • Faster time to production-ready models: With Cloud AutoML, you can create a simple model in minutes to pilot your AI-enabled application, or build out a full, production-ready model in as little as a day.
  • Easy to use: AutoML Vision provides a simple graphical user interface that lets you specify data, then turns that data into a high quality model customized for your specific needs.

For customers that want to analyze images without labels yet, Google can provide a team of in-house human labelers that will review your custom instructions and classify your images accordingly.

For More Information

If you’d like to evaluate Google Cloud AutoML, you need to request access. Additional information is available on the new Cloud AutoML service website.