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

In-Person Training

Chia Wei Lim (Skymind), Wang Feng (Skymind)
Tuesday, April 10 & Wednesday, April 11, 09:00 - 17:00
Location: 多功能厅6A+B (Function Room 6A+B)
Secondary topics:  深度学习(Deep Learning), 金融服务 (Financial Services)

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Participants should plan to attend both days of this 2-day training course. Platinum and Training passes do not include access to tutorials on Wednesday.


What you'll learn, and how you can apply it

Learn how to configure your dataset properly for use by the neural network, set appropriate hyperparameters for the neural network, configure your output layer for prediction and classification, and choose appropriate hardware


A working knowledge of at least one programming language (The labs will be performed in Java on a provided virtual machine.)

Hardware and/or installation requirements:

A laptop with 10 GB of available space and VirtualBox or VMware Player installed



  • 介绍神经网络的知识并且概述不同类型的神经网络,例如前馈神经网络(FNN)、卷积神经网络(CNN)和循环神经网络(RNN) 。
  • 针对处理时间序列数据如何选择神经网络。
  • 案例演示:RNN在天气预报方面的应用。


  • 如何配置序列数据的提取。
  • 循环神经网络(RNN) 在医疗方面的应用。
  • 循环神经网络(RNN) 在序列数据分类方面的应用。
  • 案例演示:RNN)对序列数据分类。*

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