Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY

In-Person Training
Put Deep Learning to Work: A Practical Introduction using Amazon Web Services

Wenming Ye (Amazon Web Services)
Monday, April 15 & Tuesday, April 16,
9:00am - 5:00pm
Location: Hudson Suite

Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Tuesday.

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. In this 2 day training, Wenming Ye (AWS) and Miro Enev (Nvidia) offer a practical next step in DL learning with instructions, demos, and hands-on labs.

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

  • Deep Learning, TensorFlow, PyTroch, and MXNet
  • Key trends and business scenarios in AI/DL adoption
  • Bring your models to production faster, with much less effort, and lower cost.

This training is for you because...

You are an aspiring ML Developer, practicing ML Developer and/or Data Scientist.

Prerequisites:

Python

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.

In this 2 day training, Wenming Ye (AWS) and Miro Enev (Nvidia) offer a practical next step in DL learning with instructions, demos, and hands-on labs. You will explore the current trends powering AI/DL adoption and algorithmic learning in neural networks, dive into how DL is applied in modern business practices, and leverage building blocks from the Amazon ML family of AI services from powerful new GPU instances, convenient Amazon SageMaker built-in Algorithms, to ready-to-use managed AI services.

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

Photo of Wenming Ye

Wenming Ye is a senior solution architect at Amazon Web Services.

Twitter for wenmingye

Conference registration

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

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