We’ve seen neural nets that are trained to identify animals in photos. We’ve seen neural nets trained to describe videos. Last week, Google said it’s using a neural network to generate responses to your emails. Alongside all of this progress, researchers and tinkerers have created dozens of experiments using open-source neural networks, uploading their results to GitXiv.
Today, one of those tinkerers–Samim Winiger, whose work we’ve covered recently–sent along his latest experiment. He used an open-source neural network that was trained on 14 million passages of romance novels by a Ryan Kiros, a University of Toronto PhD student specializing in machine learning. Called the Neural-Storyteller, the network was trained to analyze images and retrieve appropriate captions from its vast store of sexy knowledge, creating “little stories about images,” says Kiros.
And what stories! Winiger fed the network a series of images, and it’s hard to even decide where to begin. How about with this image of Lloyd Blankfein, the CEO of Goldman Sachs?
via Gizmodo
