Practical Machine Learning for Computer Vision


Sep 22, 10:00AM PDT(05:00PM GMT). Add to Calendar: Google Yahoo
  • Free 187 Attendees
Description
Speaker
The event is based on the recently published O Reilly Book "Practical Machine Learning for Computer Vision" (Link) by the three Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard.

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Learn how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques.
Lak, Martin and Ryan (the 3 authors) will introduce three of the topics from the book:
-- Talk #1: Deep learning architectures for ML vision, by Valliappa Lakshmanan.
-- Talk #2: GAN, by Ryan Gillard.
-- Talk #3: Image Search, by Martin Görner
-- AMA Session: Q&A and Ask Me Anything.

We will raffle for 5 copies of the book. For the 5 winners: hard copy ship to you if you are within USA; e-copy if you are outside of USA).

Lak&Martin (Google)

Lak
Global Head for Data Analytics and AI Solutions on Google Cloud. His team builds software solutions for business problems using Google Cloud data analytics and machine learning products.
Martin Görner
Product Manager Machine Learning (TPUs, Tensorflow, Keras) at Google
Ryan Gillard
Staff AI Engineer at Google
*By RSVP, you submit information to event hosts, who will email you regarding events and services. You can opt-out from the emails. FAQ