From the course: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
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Vision AI build - Google Cloud Tutorial
From the course: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
Vision AI build
- So now let's look at one of the two products we're going to look at in this course. It's called AutoML Vision. Vision really can be leveraged in a couple of different ways. Number one: AutoML Vision, the ability to use a user interface to get to the problem and the solution, which is what we're going to do, or through the API, which means we can programmablly access models from other applications directly into the Vision API. So there are three major functions, including train, learn, and the ability to leverage algorithms. Keep in mind, we're able to train Vision as to what it needs to look for in patterns of images. So, for example, types of clouds, for example, fraudulent checks, for example, human writing, all these things are possible in this product. It's able to leverage something called transfer learning, to learn about the patterns. So in other words, we're going to provide images, label those…
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