【15-30期VALSE Webinar活动】 报告标题：Mocha.jl - Deep Learning for Julia [Slides]
报告嘉宾：Chiyuan Zhang（张弛原），麻省理工学院
主持人：郑帅（牛津大学）
报告标题：Mocha.jl - Deep Learning for Julia
报告时间：2015年9月23日（星期三）晚20:00（北京时间）
报告内容：Mocha.jl is an efficient and flexible deep learning framework for Julia, a high-level dynamic language designed specifically for scientific and technical computing. Mocha.jl supports multiple computation backends, including CPUs and GPUs (with CUDA and cuDNN). I will briefly introduce Julia to the potential audience who is not familiar with this new language. After that, I will use an example to illustrate the user interfaces of Mocha.jl and also introduce the design and architecture behind the library implementations.
报告人简介：Chiyuan Zhang received the BS degree and Master degree in Computer Science from Zhejiang University, China, in 2009 and 2012, respectively. He is currently a PhD candidate at Computer Science and Artificial Intelligence Laboratory, MIT, USA. His research interests include machine learning and computational neuroscience, as well as application to processing / analysis of speech, vision and other kinds real-world signals. Panel主题：深度学习近期进展及开放问题
深度学习Panel嘉宾：华刚教授（微软）；颜水成教授（新加坡国立大学）；王晓刚教授（香港中文大学）；张弛原（麻省理工学院）等；
主持人：山世光研究员（中科院计算所）
报告时间：2015年9月23日（星期三）晚21:00（北京时间） | 