Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR

Deep learning 101: Apache MXNet

9:00am12:30pm Tuesday, July 17, 2018
Artificial intelligence
Location: E145/146
Level: Intermediate
Average rating: ****.
(4.83, 6 ratings)

Who is this presentation for?

  • Software engineers, data scientists, and research scientists

Prerequisite knowledge

  • A working knowledge of Python
  • Familiarity with standard packages such as NumPy and Matplotlib (useful but not required)
  • No knowledge of deep learning or machine learning required

Materials or downloads needed in advance

  • A WiFi-enabled laptop with Project Jupyter and Python 3.6+ installed

What you'll learn

  • Learn how to develop deep learning solutions using Apache MXNet


Apache MXNet allows Python programmers to develop state-of-the-art deep learning models in a familiar imperative programming methodology using the Gluon APIs.

Simon Corston-Oliver offers an introduction to deep learning in Python using Apache MXNet. Simon starts with deep learning fundamentals and then explores advanced topics such as training on multiple GPUs. You’ll learn best practices for manipulating data and get hands-on experience training and evaluating complex models for computer vision in a Jupyter notebook.

Photo of Simon Corston-Oliver

Simon Corston-Oliver


Simon Corston-Oliver is a senior machine learning scientist at AWS, where he manages a team of deep learning specialists who assist users of MXNet to develop solutions across a wide range of research fields. Simon has a research background in linguistics and computational linguistics. He has authored more than 30 peer-reviewed conference presentations and more than 15 patents in areas such as machine translation, syntactic parsing, discourse, and language modeling.

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Picture of Simon Corston-Oliver
07/17/2018 7:48am PDT

Great to meet people who are new to Deep Learning and walk through the fundamental concepts.

Slides and notebooks from the presentation are here: https://github.com/simoncorstonoliver/DeepLearningWithMXNetGluon