Deep Learning Reading List
Don't forget "Intriguing properties of neural networks", otherwise known as "Does Deep Learning have deep flaws?".<p>In sum, you can teach a network to say "that's a dog" when presented with a picture of a dog, but you'll also be able to (1) find an imperceptibly modified version of the image where it'll say "that's garbage" and (2) intelligently generate an image of noise that also gets recognised as a dog.<p>(1) <a href="http://arxiv.org/abs/1312.6199" rel="nofollow">http://arxiv.org/abs/1312.6199</a>
(2) <a href="http://www.newscientist.com/article/dn26691-optical-illusions-fool-computers-into-seeing-things.html" rel="nofollow">http://www.newscientist.com/article/dn26691-optical-illusion...</a>