The power of deep learning is that it’s a way of using massive amounts of data to get machines to operate more like we do without giving them explicit instructions.
Instead of describing “Chairness” to a computer, for example, we instead just plug it into the Internet and feed it millions of pictures of chairs. Next, we test it with even more images. Where it’s wrong, we correct it, which further improves its “Chairness” detection. Repetition of this process results in a computer that knows what a chair is when it sees it, for the most part as well as we can.
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