TensorFlow London Online Meetup: Deep Dive into TensorFlow #30

RSVP for Tensorflow London Meetup #30!

Register in advance for this webinar here:
https://us02web.zoom.us/webinar/register/WN_FgBoo8bBThO68fRQMuZ1bg or simply use this link to sign-in on the day and you will be directed live session.

Talk #1

Speaker: Danilo Sato, principal consultant at ThoughtWorks.

Bio: Danilo Sato (@dtsato) is a principal consultant at ThoughtWorks with experience in many areas of architecture and engineering: software, data, infrastructure, and machine learning. He is the author of "DevOps in Practice: Reliable and Automated Software Delivery", a member of ThoughtWorks Technology Advisory Board, and ThoughtWorks Office of the CTO.

Title: CD4ML and the challenges of testing and quality in ML systems

Abstract: Continuous Delivery for Machine Learning (CD4ML) deals with the challenges of applying Continuous Delivery principles to ML systems to make the end-to-end process of developing and deploying them more repeatable and reliable. These systems are generally more complex than traditional software applications, and ML models are non-deterministic and hard to explain. In this talk we will discuss the challenges of testing and quality in ML systems, and share some practices for applying different types of tests to help overcome those issues.

www.devopsinpractice.com
www.devopsnapratica.com.br

Talk #2

Speaker: Sayak Paul, PyImageSearch

Bio: Sayak works at PyImageSearch where he applies deep learning to solve problems in computer vision, and brings solutions to edge devices. He also provides Q&A support to PyImageSearch readers. Previously, Sayak developed projects and practice pools for DataCamp. Outside of work, Sayak enjoys writing technical articles and giving talks at developer meetups and conferences.

Title: TensorFlow Hub: Models, Models, and Models

Abstract: Using SoTA machine learning models to build great products can be challenging. This becomes more evident when the developers don't have access to the SoTA models in the first place. TensorFlow Hub promises to bridge that gap by providing a comprehensive repository of SoTA models across a large variety of domains. This session is going to focus on the onboarding aspect of TensorFlow Hub.

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We’re committed to keep meeting up, albeit virtually, for the foreseeable future and keep the Tensorflow community going and growing. It’s great to see the support and excitement from participants who were previously unable to attend our London-based meetups as well as the engagement from the audience throughout the talks.

If you’d like to get involved in the next meetup or have a presenter you would like to recommend, let us know.

Thank you,
TensorFlowLDN