What a Deep Neural Network thinks about your #selfie by Andrej Karpathy.
From the post:
Convolutional Neural Networks are great: they recognize things, places and people in your personal photos, signs, people and lights in self-driving cars, crops, forests and traffic in aerial imagery, various anomalies in medical images and all kinds of other useful things. But once in a while these powerful visual recognition models can also be warped for distraction, fun and amusement. In this fun experiment we’re going to do just that: We’ll take a powerful, 140-million-parameter state-of-the-art Convolutional Neural Network, feed it 2 million selfies from the internet, and train it to classify good selfies from bad ones. Just because it’s easy and because we can. And in the process we might learn how to take better selfies 🙂
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A must read for anyone interested in deep neural networks and image recognition!
Selfies provide abundant and amusing data to illustrate neural network techniques that are being used every day.
Andrej provides numerous pointers to additional materials and references on neural networks. Good think considering how much interest his post is going to generate!