Deep models are dominating the artificial intelligence (AI) industry since the ImageNet challenge in 2012. The size of deep models is increasing ever since, which brings new challenges to this field with applications in cell phones, personal computers, autonomous cars, and wireless base stations. Here we list a set of problems, ranging from training, inference, generalization bound, and optimization with some formalism to communicate these challenges with mathematicians, statisticians, and theoretical computer scientists. This is a subjective view of the research questions in deep learning that benefits the tech industry in long run.

翻译：深度模型自2012年ImageNet挑战以来已经主导了人工智能（AI）产业。自此以后，深度模型的规模不断增加，给这个在手机、个人电脑、自动驾驶汽车和无线基站等领域具有应用价值的领域带来了新的挑战。在此，我们列出了一系列问题，涉及训练、推理、概括边界和最优化问题，并使用一些形式手段与数学家、统计学家和理论计算机科学家通讯，以便长期对科技产业产生利益。这是在深度学习中研究问题的一种主观观点。