Facebook is using your Instagram photos to train its image recognition AI – TechCrunch

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In the race to continue building more sophisticated AI deep learning models, Facebook has a secret weapon: billions of images on Instagram. In research the company is presenting today at F8, Facebook details how it took what amounted to billions of public Instagram photos that had been annotated by users with hashtags and used that data to train their own image recognition models. They relied on hundreds of GPUs running around the clock to parse the data, but were ultimately left with deep learning models that beat industry benchmarks, the best of which achieved 85.4 percent accuracy on ImageNet. If you've ever put a few hashtags onto an Instagram photo, you'll know doing so isn't exactly a research-grade process. There is generally some sort of method to why users tag an image with a specific hashtag; the challenge for Facebook was sorting what was relevant across billions of images.


Machine Learning is Fun! Part 4: Modern Face Recognition with Deep Learning

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Update: Machine Learning is Fun! Part 5 is now available! Also, don't forget to check out Part 1, Part 2 and Part 3. Have you noticed that Facebook has developed an uncanny ability to recognize your friends in your photographs? In the old days, Facebook used to make you to tag your friends in photos by clicking on them and typing in their name. This technology is called face recognition.


Machine Learning is Fun! Part 4: Modern Face Recognition with Deep Learning

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Have you noticed that Facebook has developed an uncanny ability to recognize your friends in your photographs? In the old days, Facebook used to make you to tag your friends in photos by clicking on them and typing in their name. This technology is called face recognition. Facebook's algorithms are able to recognize your friends' faces after they have been tagged only a few times. It's pretty amazing technology -- Facebook can recognize faces with 98% accuracy which is pretty much as good as humans can do!



Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare AI Podcast

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Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world. His MIT OpenCourseWare lectures on linear algebra have been viewed millions of times. This conversation is part of the Artificial Intelligence podcast.