so far: looks like the neural net has only a fuzzy idea of what it's actually seeing & relies heavily on probability.
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this suggests a hilariously surrealist method of fooling image recognition-based security.
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This is the neural net I've been using, by the way: https://github.com/karpathy/neuraltalk2 … And you can play with Microsoft's version here: https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/ …
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I summarized the experiments in a blog post here. Thanks for all the help, everyone!http://aiweirdness.com/post/171451900302/do-neural-nets-dream-of-electric-sheep …
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so obvious here but think of the mistakes algorithms can quietly make w medical & satellite photos. Expert review is crucial.
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I have a picture of goats in a very unusual place, if that helps?
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I would love to see Goats In A Very Unusual Place
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Apparently the neural net doesn't expect people to hold animals other than cats and dogs. "a woman is holding a dog in her hand"
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That woman is seven years old. Though she does have really big hands.
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Here's one more clearly goat-faced, for your machine learning pleasure:pic.twitter.com/vAAbV8nr0y
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Still a dog: "a man is holding a small dog in his hand"
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What about an unusual sheep in a usual place?pic.twitter.com/r7lGrqrxR3
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I suspect it will get flagged as a sheep (or goat or cow) based on setting, but let's see.
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This was rather unexpected: "a sheep standing on a lush green field" I'm astonished it got the sheep but not the setting. It seems to usually be the other way around.
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it seems to really really like those lush fields
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noticed that! For some reason the training data uses that description a lot.
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Meet Houdini, the I-65 Goat:pic.twitter.com/cs2sJjwNKu
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adult goat standing in a lush green highway
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I wish that were the answer. Instead, it wrote "a cow standing on the side of a road"
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