English中文
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 Data Incubator)
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 is a data scientist in residence at the Data Incubator, where he combines his interest in data with his love of teaching. Previously, he was a data scientist and software engineer at Verizon. Rich holds a PhD in particle physics from the Massachusetts Institute of Technology, which he followed with postdoctoral research at the University of California, Davis.

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