Up and Running with Apache MXNet on AWS

Jun 19 - 20, 2017 · New York, United States of America

Deep Learning (DL) is a subset of Machine Learning (ML) that extends the concept of Artificial Neural Networks (ANN) to uncover hidden patterns in unstructured datasets. Due to the current ubiquity of data (Big Data), and availability of on-demand, inexpensive, and parallel hardware such as Graphics Processing Units (GPUs) on Amazon EC2, Deep Learning has revitalized the excitement in Artificial Intelligence. Breakthrough results can be seen in industry applications such as computer vision, robotics, healthcare, security, retail, and more. Apache MXNet is a fully-featured, flexibly-programmable and ultra-scalable deep learning framework supporting state-of-the-art deep models including convolutional neural networks (CNNs), and long short-term memory networks (LSTMs). MXNet enables Data Scientists, Programmers, and Engineers to train and deploy deep models at scale, using their favorite language (Python, R, Go, Matlab, Scala, C++, more), with the same fast performance.

At this Meetup, participants will learn how to spin up a pre-built, GPU enabled Data Science environment using the AWS Deep Learning Amazon Machine Image (AMI), in few minutes. We will write a deep learning program with MXNet in a few lines of codes using Python and the R programming languages. We will train the deep learning models on one, then multiple GPUs. Finally, we will discuss and compare deep models to some traditional Machine Learning models such as Support Vector Machines or Random Forest, and XGboost.

Registration will be needed when getting to the Loft, but if you would like to register in advance, please use this link: https://pages.awscloud.com/namer_EV_loft-ny-AWSMeetup_Mxnet_2017.html

Event organizers
  • AWS New York | Official Meetup

    Welcome to the official Amazon Web Services (AWS) New York Meetup. Founded and organized by AWS employees, we'll explore all aspects of working with AWS. Learn about new services and features, hear from AWS customers who are using our services in new and exciting ways, learn how to partner with AWS and enjoy the company of others who are eager to share experiences.

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