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Showing posts with the label AutoML

Start with AutoML Vision alpha

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Starting with AutoML Vision Alpha I have a conversation when asked about one of the top questions is Google Cloud AutoML. Let's use AutoML Vision Alpha and use the machine learning model that recognizes different chairs, as well as some other items sprinkled for better measure. We're doing it all, all the way from raw data to model service, and all in between! A lot of people are stating for access to AutoML Vision Alpha, and I'd like to walk away from the workflow to show you what it's using if you haven't gotten the waitlist yet. In the first video, we will get our data in the correct format for AutoML Vision. So in part two, we use this model to find out what the style of the chair is in the picture. We dive so ... What is AutoML? The Cloud Vision API can identify the chair, but it is generic One thing that makes AutoML so attractive is the customization model. There is no problem in identifying existing models and services like Cloud Vision API that may have a c