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将人工智能用起来
2019年6月18-21日
北京,中国

Deep learning with PyTorch

Rich Ott (The Pragmatic Institute)
Tuesday, June 18 & Wednesday, June 19, 09:00 - 17:00
Location: 多功能厅6A+B (Function Room 6A+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。

PyTorch is a machine learning library for Python that allows users to build deep neural networks with great flexibility. Rich Ott introduces you to the PyTorch workflow and explores how its easy-to-use API and seamless use of GPUs makes it a sought-after tool for deep learning. Join in to get the knowledge you need to build deep learning models using real-world datasets.

Outline

Day 1

  • PyTorch tensors
  • Automatic differentiation package
  • Neural networks
  • Multilayer perceptrons

Day 2

  • Network architectures
  • Convolutional neural network
  • Autoencoders

关于导师

Photo of Rich Ott

Richard Ott obtained his PhD in particle physics from the Massachusetts Institute of Technology, followed by postdoctoral research at the University of California, Davis. He then decided to work in industry, taking a role as a data scientist and software engineer at Verizon for two years. When the opportunity to combine his interest in data with his love of teaching arose at The Data Incubator, he joined and has been teaching there ever since.

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