With deep learning, the computers learned on their own that “taxi” and “ride” are typically grouped together, but it still needs human help to ensure that the computers learn additional context. By analyzing a large number of images, it can learn from the context of the image – what else is likely to be present in an image of a cat? What text or metadata might suggest that an image contains a cat?
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A simple example is a deep learning image analysis tool which would learn to recognize images which contain cats, without specifically being told what a cat looks like. The significant part, Deep learning can help improve things like speech and object recognition, and it can play an important role in advancing research in fields as diverse as physics, engineering, biology and medicine.ĭeep Learning techniques enable machines to learn to classify data by themselves. “If you’ve logged into Facebook, it’s very likely you’ve used some type of AI system we’ve been developing” According to Kevin Lee, a technical program manager at Facebook and author of the blog. Īnd no one has more data about us than Facebook.įacebook AI Multiple to various working areas. Mobile adoption also continues its upward momentum with 1.74 billion monthly active users, a 21 percent rise.Īll of the people are uploading 136,000 photos and updating their status 293,000 times per minute until recently Facebook could only hope to draw value from a tiny fraction of its unstructured data – information which isn’t easily quantified and put into rows and tables for computer analysis. 1.23 billion people use the site daily, up 18 percent annually.
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