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剑桥大学教授亲授《深度神经网络》Deep Neural Networks Course Taught by

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Dear Student,

I am writing to you about the module Advanced Deep Neural Networks, which will be offered by a group of University of Cambridge faculty in their capacity as individuals beginning October 22nd. This is a cutting-edge code-centric and hands-on course built on the foundations of MSc modules offered by the course lead during their tenure at the University of Oxford and the University of Cambridge. The content is delivered real-time online through Zoom in small interactive classes. A Chinese language teaching assistant will be present and available to help during all classes.

Upon completion, each candidate will receive a certificate in recognition of their achievement; They will have built an extensive portfolio of Deep Learning programming projects; And will be eligible to receive any number of recommendation letters from the course lead, Dr. Nicolas Lane, in support of their university applications for a period of up to 2 years.

A free sample class will be offered on October 22nd. Thereafter, classes will be held on Fridays and Saturdays evenings at 18:00 China Standard Time.

Kind regards,



Student Outreach Coordinator
student-outreach@cambridgeacademy.ai


Key features:
  • Advanced DNN concepts
  • Cutting-edge content
  • Code-centric & hands-on


Course style:
  • Small interactive Zoom class
  • Cambridge-style teaching style
  • Chinese language teaching assistant


Outcomes:
  • Course completion certificate
  • DNN programming portfolio
  • Personalized recommendation letter




亲爱的同学,


感谢你对我们课程的关注!由剑桥大学教授团队亲自授课的《深度神经网络》项目即将于10月22日开学。我们的课程是由牛津大学和剑桥大学终身教授利用业余时间,在牛剑硕士课程的基础上,整合并开发的这样一个有前沿技术,代码为主并且实践性强的学习项目。授课形式是通过Zoom,实时互动的小班授课。并且我们会有一位中文助教,全程参与和跟进,以帮助同学与教授进行最好的交流。


课程结束后,每位学生将收到一份课程结业证,以及属于个人的深度学习程序和代码集。每位同学也将有资格获得一份由Nicolas Lane教授亲自撰写和签名的推荐信,以支持同学在近两年之内大学和研究生院的申请。


我们将在10月22日为感兴趣的同学提供一堂免费的试听课。之后,我们的课程将在每周五和周六北京时间傍晚6点开始,不见不散。


祝好,

学生联络专员

student-outreach@cambridgeacademy.ai



课程特色:

  •     最前沿的深度神经网络理论
  •     最先进的课程内容
  •     实际操作和代码为中心



授课形式:

  •     小型互动Zoom线上授课
  •     剑桥大学课堂氛围
  •     中文助教



项目成果:

  •     教授签名结业证书
  •     深度神经网络程序和代码文件库
  •     教授为同学亲自撰写的推荐信





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