Mar 15–18, 2020

Put deep learning to work: A practical introduction using Amazon Web Services

Wenming Ye (Amazon Web Services)
9:00am—5:00pm
Sunday, March 15—Monday, March 16
Location: Almaden 2

Participants should plan to attend both days of training course. Note: to attend training courses, you must be registered for a Platinum or Training pass; does not include access to tutorials on Monday.

Machine learning (ML) and deep learning (DL) projects are becoming increasingly common at enterprises and startups alike and have been a key innovation engine for Amazon businesses such as Go, Alexa, and Robotics. Wenming Ye demonstrates a practical next step in DL learning with instructions, demos, and hands-on labs.

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

  • Understand deep learning, TensorFlow, PyTorch, MXNet, and key trends and business scenarios in AI and DL adoption
  • Learn to bring your models to production faster with much less effort and at lower cost

Prerequisites:

  • A working knowledge of Python

You’ll explore the current trends powering AI and DL adoption and algorithmic learning in neural networks, dive into how DL is applied in modern business practices, and leverage building blocks using the Amazon ML family of AI services from powerful new GPU instances to convenient Amazon SageMaker built-in algorithms to ready-to-use managed AI services.

Outline

Day 1

  • Deep learning and reinforcement learning trends
  • Neural learning and common DL architectures
  • Understanding a DL project workflow by example
  • Introduction to high-level Amazon ML Services
  • Amazon SageMaker (a Jupyter-based service) with Amazon Elastic Inference
  • Running TensorFlow and PyTorch on SageMaker

Day 2

  • Group discussion: Bring your own deep learning problem
  • SageMaker custom and built-in algorithms
  • Time series prediction using recurrent neural networks
  • Current topics in NLP
  • Introduction to reinforcement learning and the AWS DeepRacer

About your instructor

Wenming Ye is an AI and ML solutions architect at Amazon Web Services, helping researchers and enterprise customers use cloud-based machine learning services to rapidly scale their innovations. Previously, Wenming had diverse R&D experience at Microsoft Research, an SQL engineering team, and successful startups.

Twitter for wenmingye

Conference registration

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