Mar 15–18, 2020

Put deep learning to work: A practical introduction using Amazon Web Services (Day 2)

Wenming Ye (Amazon Web Services)
Location: Almaden 2

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

Prerequisite knowledge

  • A working knowledge of Python

What you'll learn

  • 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
Photo of Wenming Ye

Wenming Ye

Amazon Web Services

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.

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