If you have the data, but not enough time and/or expertise to build your own ML model, you are not alone. Many enterprises are bootstrapped for people who can build custom ML models. This is why we, at Google Cloud, have created a tool to make ML more accessible to developers through simple transfer learning. In this session, we will demonstrate Cloud AutoML Vision, a service that makes it faster and easier to create custom ML models for image recognition. Its drag-and-drop interface lets you easily upload images, train and manage models, and then deploy those trained models directly on Google Cloud.
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Publisher: Google Cloud
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