说明:深度贝叶斯学习: In this work we develop tools to obtain practical uncertainty estimates in deep learning, casting recent deep learning tools as Bayesian models without changing either the models or the optimisation. In the first part of this thesis we devel <amour0425> 上传 | 大小:8mb