Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR
Hannes Hapke

Hannes Hapke
Senior Data Scientist, SAP ConcurLabs

Website | @hanneshapke

Hannes Hapke is a senior data scientist at SAP ConcurLabs. He’s been a machine learning enthusiast for many years and is a Google Developer Expert for machine learning. Hannes has applied deep learning to a variety of computer vision and natural language problems, but his main interest is in machine learning engineering and automating model workflows. Hannes is a coauthor of the deep learning publication Natural Language Processing in Action and he’s working on a book about Building Machine Learning Pipelines with TensorFlow Extended (O’Reilly). When he isn’t working on a deep learning project, you’ll find him outdoors running, hiking, or enjoying a good cup of coffee with a great book.

Sessions

1:30pm–2:00pm Tuesday, July 17, 2018
Got a trained deep learning model? Now what? Deploying deep learning models
TensorFlow
 Location: B115-116
Tags: tensorflow
Hannes Hapke (SAP ConcurLabs)
Average rating: *****
(5.00, 3 ratings)
Developing deep learning models with TensorFlow is often only half of the story. To be useful to the public, the model needs to be deployed. Hannes Hapke explains how to deploy your TensorFlow model easily with TensorFlow Serving, introduces an emerging project called Kubeflow, and highlights some deployment pitfalls like model versioning and deployment flow. Read more.