From the course: Deep Learning: Image Recognition

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When to use an API instead of building your own solution

When to use an API instead of building your own solution - Python Tutorial

From the course: Deep Learning: Image Recognition

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When to use an API instead of building your own solution

- [Instructor] Depending on the kind of project that you're building, sometimes it makes more sense to use an off-the-shelf image recognition API instead of building your own custom solution. All the major cloud vendors now provide image recognition APIs. So if you're using cloud services from Google, Amazon, or Microsoft, you can also use their image recognition capabilities. In addition to the products offered by the large cloud vendors, there are also many start-ups and smaller companies that offer image recognition APIs. All of these products will let you upload an image and get back a list of objects that appear in that image. And best of all, using these APIs, usually only requires a few lines of code. The downside, is that these systems have a built in list of objects that they recognize, so you're limited to recognizing the kinds of objects that they already understand. So when might you choose to use an API instead of training your own machine learning model? First, if you…

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