O’REILLY、INTEL AI 主办
Put AI to work
2018年4月10-11日:培训
2018年4月11-13日:辅导课 & 会议
北京,中国

In-Person Training
用TensorFlow进行深度学习

Michael Li (The Data Incubator), Season Yang (McKinsey & Company)
Tuesday, April 10 & Wednesday, April 11, 09:00 - 17:00
Location: 多功能厅5A+B(Function Room 5A+B)

参加者应该参加全部两天的课程。白金门票和培训门票不包括周四的辅导课。

TensorFlow是一个流行的深度学习的工具。我们会介绍TensorFlow的流程图、学习使用它的Python API,并展示它的用处。我们会从简单的机器学习算法开始,然后实现神经网络。我们还会讨论一些真实的深度学习的应用,包括机器视觉、文本处理和生成型网络。

与会观众能学到什么

了解TensorFlow在机器学习方面的优势以及TensorFlow如何帮助解决AI问题,如对象识别和文本处理。了解如何使用Python在TensorFlow中构建基本计算

预备条件:

  • 熟悉Python语言
  • 熟悉矩阵
  • 熟悉建模
  • 熟悉统计

硬件和/或安装要求:

学员应该带自己的电脑,有浏览器安装即可。

很多AI应用里的深度学习算法的背后都是大型矩阵运算。TensorFlow为这样的运算提供了数据流程图,从而让算法可以很容易地在多个处理器或机器上并行进行。这一特性使得TensorFlow成为实现神经网络和其他深度学习算法理想的环境。本辅导课程将会使用TensorFlow的Python API来介绍和设计TensorFlow里的计算。并以此为基础,进一步介绍目前使用的一些深度学习算法。卷积神经网络可以被用来为机器视觉提供目标识别的能力。循环神经网络(包括长短期记忆架构)可以被用来理解时间序列和语言数据。而生成型网络则让AI应用有能力创造出输出。

关于导师

Photo of Michael Li

Tianhui Michael Li is the founder and CEO of the Data Incubator. Michael has worked as a data scientist lead at Foursquare, a quant at D.E. Shaw and JPMorgan, and a rocket scientist at NASA. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup that lets him focus on what he really loves. He did his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall scholar.

Photo of Season Yang

Season Yang is an analytics fellow in McKinsey & Company’s Risk Practice. Previously, Season was a data scientist in residence at the Data Incubator, where he also contributes to curriculum development and instruction and worked at NASA’s Goddard space center, where he studied climate change models with data analysis. Season holds a double Bachelor’s degree in applied mathematics and scientific computation and economics from UC Davis, and a Master’s in applied mathematics from Columbia, specializing in numerical computation.

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