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With Saishruthi Swaminathan (Data Scientist, IBM Codait).
Wed, Jun 12, 2019 @ 09:30 PM   FREE   Online
 
     
 
 
              

      
 
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This event will be Livestream here:

https://livestream.com/accounts/23925505/events/8690257

Powering your application with deep learning is no walk in the park, but is certainly attainable with some tricks & good practice. Serving a deep learning model on a production system demands the model to be stable, reproducible, capable of isolation & to behave as a stand-alone package. One possible solution to this is a containerized microservice.

Ideally, serving deep learning microservices should be quick & efficient, without having to dive deep into the underlying algorithms & their implementation. Too good to be true? Not anymore! Together, we will demystify the process of developing, training, & deploying deep learning models as a web microservice using Model Asset Exchange, an open source framework developed at the IBM Center for Open Source Data & AI Technologies (CODAIT).

We will kick off with an overview of how deep learning models are best published as Docker Images on DockerHub, & are best prepared for deployment in local or cloud environments using Kubernetes or Docker. We highlight the following benefits of such an approach:

Standardized REST API implementation & application-friendly output format (JSON)

Abstracting out the complex pre & post-processing portions of the model inputs & outputs.

We will walk you through some super cool applications such as automatic image cropping, age estimation from videos/webcam & Veremin - a video theremin. All these applications & the framework itself are open source & we conclude by inviting contributions & opening the gates for you to be a part of this amazing initiative!

Saishruthi Swaminathan is a developer advocate & data scientist in the IBM CODAIT team whose main focus is to democratize data & AI through open source technologies. She has a Masters in Electrical Engineering specializing in Data Science & a Bachelor degree in Electronics & Instrumentation. Her passion is to dive deep into the ocean of data, extract insights & use AI for social good. Previously, she was working as a Software Developer. On a mission to spread the knowledge & experience, she acquired in her learning process. She also leads education for rural children initiative & organizing meetups focussing women empowerment.

About Metis

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, & corporate programs based in Seattle, New York, Chicago, & San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

Learn more about us at

https://thisismetis.com/

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If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously & promptly addressed.

 
 
 
 
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