publ: 15-Jul, 2015 Subscribe to KDnuggets News | | Contact SOFTWARE NEWS Top stories Opinions Tutorials JOBS Companies Courses Datasets EDUCATION Certificates Meetings Webinars #header end KDnuggets Home » News » 2015 » Jul » Opinions, Interviews, Reports » Deep Learning Adversarial Examples – Clarifying Misconceptions ( 15:n23 ) Previous post Next post Tags: Adversarial , Deep Learning , Ian Goodfellow , Myths , Regularization Google scientist clarifies misconceptions and myths around Deep Learning Adversarial Examples, including: they do not occur in practice, Deep Learning is more vulnerable to them, they can be easily solved, and human brains make similar mistakes. comments By Ian Goodfellow (Google) . Gregory Piatetsky, Editor: earlier KDnuggets post by Zachary Lipton (Deep Learning's Deep Flaws)'s Deep Flaws led to...