说明: Neuralnetworkbasedmethodshaveobtainedgreat progress on a variety of natural language processing tasks. However, in most previous works, the models are learned based on single-task supervised objectives, which often suffer from insufficient training d <qq_36242451> 上传 | 大小:792kb
说明: L. A. N. Amaral*, A. Scala, M. Barthe ́ le ́ my†, and H. E. Stanley Center for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215 Communicated by Herman Z. Cummins, City College of the City University of New York, New Yor <rand_c> 上传 | 大小:570kb
说明: cs236课件,Generative models are widely used in many subfields of AI and Machine Learning.Recent advances in parameterizing these models using deep neural networks, combined with progress in stochastic optimization methods, have enabled scalable modeli <weiliang_handan> 上传 | 大小:46mb