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

Hannes Hapke
Creator, Wunderbar.ai

Website | @hanneshapke

Hannes Hapke is a machine learning enthusiast and a Google Developer Expert for machine learning. He’s applied deep learning to a variety of computer vision and natural language problems, but his main interest is in machine learning infrastructure and automating model workflows. Hannes is a coauthor of Natural Language Processing in Action and is working on Building Machine Learning Pipelines with TensorFlow for O’Reilly. When he isn’t working on a deep learning project, you’ll find him running long distances, hiking, or enjoying a book with a good cup of coffee.

Sessions

1:30pm2:00pm Tuesday, July 17, 2018
TensorFlow
Location: B115-116
Tags: tensorflow
Hannes Hapke (Wunderbar.ai)
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.