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

Description

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