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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Tutorials

On Wednesday, April 11, choose from all-day and half-day tutorials. These expert-led presentations give you a chance to dive deep into the subject matter. Please note: to attend, your registration package must include tutorials on Wednesday; does not include access to training courses.

Wednesday, April 11

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09:0017:00 Wednesday, April 11, 2018
Location: 多功能厅8A+B(Function Room 8A+B) Level: Intermediate
Secondary topics:  传媒、广告、娱乐 (Media, Advertising, Entertainment), 制造业与工业自动化 (Manufacturing and Industrial Automation), 设计AI平台(Designing AI platforms), 金融服务 (Financial Services)
Kristian Hammond (Northwestern Computer Science)
Average rating: *****
(5.00, 2 ratings)
Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making. Read more.
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09:0017:00 Wednesday, April 11, 2018
Location: 多功能厅2(Function Room 2)
Secondary topics:  深度学习(Deep Learning)
Zhichao Li (Intel)
深度学习技术的进步继续推动数据分析和机器学习的演变,推进人工智能的全新应用。作为最受欢迎的上层神经网络 API 之一,Keras 可帮助企业轻松、快速地进行原型构建,并支持多个后端,包括 TensorFlow 和 Theano。在本演讲中,我们将展示如何将 Keras 无缝集成在 BigDL(Apache Spark 的一种分布式深度学习框架)中,以便用户通过运行分布式 Keras 在基于英特尔® 至强® 处理器的现有 Hadoop/Spark 集群上进行训练、微调或大规模推理。 Read more.
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09:0012:30 Wednesday, April 11, 2018
Location: 报告厅(Auditorium)
Secondary topics:  深度学习(Deep Learning)
Yufeng Guo (Google)
Yufeng Guo walks you through training a machine learning system using popular open source library TensorFlow, starting from conceptual overviews and building all the way up to complex classifiers. Along the way, you'll gain insight into deep learning and how it can apply to complex problems in science and industry. Read more.
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09:0012:30 Wednesday, April 11, 2018
Location: 紫金大厅B(Grand Hall B)
Secondary topics:  运输与物流 (Transportation and Logistics)
Erran Li (Uber ATG)
尽管最近人工智能等领域取得了很多的进展,但自动驾驶里的主要问题(不管是基础研究还是工程应用上的挑战)离完全被解决还有很大的距离。Erran Li将会探索自动驾驶所用的机器学习的基础,并讨论目前相关工作的进展。 Read more.
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13:3017:00 Wednesday, April 11, 2018
Location: 报告厅(Auditorium) Level: Intermediate
Secondary topics:  增强学习(Reinforcement Learning)
Arthur Juliani (Unity Technologies), Leon Chen (Unity Technologies)
Recently, computers have been able to learn to play Atari games, Go, and first-person shooters at a superhuman level. Underlying all these accomplishments is deep reinforcement learning. Arthur Juliani and Leon Chen lead a deep dive into reinforcement learning, from the basics using lookup tables and GridWorld all the way to solving complex 3D tasks with deep neural networks. Read more.