June 18-21, 2019
Beijing, CN

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)

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.

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.

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

  • Learn PyTorch's tensors, automatic differentiation package, and different deep learning model architectures
  • Understand how to build and train deep neural networks in PyTorch

This training is for you because...

  • You're a developer or analyst with some machine learning and Python experience.


  • A working knowledge of Python, matrices and linear algebra, modeling and machine learning, and the basics of neural networks


Day 1

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

Day 2

  • Network architectures
  • Convolutional neural network
  • Autoencoders

About your instructor

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.


Get the Platinum pass or the Training pass to add this course to your package.

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