主题:TensorFlow Dev Summit 2017 Recap in Lanzhou
时间:2017年2月18日 9:00-19:00
地点:兰州大学飞云楼会议室
参与人数:42
内容:
Google开源Tensorflow框架已经一年多了,第一次TensorFlow Dev Summit于今年2月15日在Mountain View举办,本社区于2月18日组织了录像观看活动,观看峰会的主题报告,在观看录像之后,Lanzhou GDG志愿者申泽邦还给与会的开发者讲解深度强化学习理论,指导现场用TensorFlow实现了一个Deep Q-learning Network。
录像的相关主题演讲和演讲者:
XLA: TensorFlow, Compiled! with Todd Wang and Chris Leary
TensorFlow High-Level API with Martin Wicke
Keras and TensorFlow with Francois Chollet
茶歇时间(10:30左右)
Distributed TensorFlow with Derek Murray
Creating Art & Music with Project Magenta with Doug Eck
TensorFlow Ecosystem: Hadoop and More with Jonathan Hseu
午饭时间(12:00),下午13:00继续
Serving Models in Production with TensorFlow Serving with Noah Fidel
Memorization + Generalization with TensorFlow Wide and Deep with Heng-Tze Cheng
Hands-on TensorBoard with Dandelion Mane
茶歇时间(15:30左右)
Mobile and Embedded TensorFlow with Pete Warden
ML Toolkit with Ashish Agarwal
Sequence Models and the RNN API with Eugene Brevdo
TensorFlow in Health with Lily Peng
Lanzhou GDG志愿者报告:基于TensorFlow实现DQN——使用深度学习玩游戏最终大家都认为此次观看录像的活动给大家带来了不少的收获。
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