Image Recognition with Deep Learning

Join us for an Expertise Seminar on how to build an image recognition model using deep learning!

August 22, 2017 | 10:00 a.m. - 11:00 a.m. PT

About the seminar

Learn how to set up an image recognition system using the latest deep learning algorithms. In this month’s seminar we will cover:

  1. How to take advantage of pre-trained deep learning models and adapt them to your use-case

  2. Best practices around scaling your model to handle production settings

  3. Ways to evaluate a model that you have built and deployed

  4. [Customer-exclusive] Training our own image recognition model from scratch as well as fine-tuning a pre-trained one on the DataScience.com Platform

Presentation: 10 a.m. to 11 a.m. PT [Customer-exclusive]  

Hands-on session: 11 a.m. to 12 p.m. PT

Date: Tuesday, August 22, 2017

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Tuck Ngun
Data Scientist, DataScience.com
Tuck Ngun is a data scientist at DataScience.com, where he works on the customer success team to help companies level up their data science work. Tuck has nearly a decade of experience working with challenging datasets and using machine learning and statistical modeling techniques to build predictive models. Previously, he worked as a postdoctoral researcher at the University of California, Los Angeles, where he focused on creating predictive models of age and sexual orientation based on biological markers.
Time Speaker Session Title
6:30pm - 7:30pm Peter Henry https://github.com/Tjatse/ansi-html
6:30pm - 7:30pm Margaret Allen https://github.com/aws/aws-sdk-js
6:30pm - 7:30pm Melissa Freeman https://github.com/mikeal/aws-sign
6:30pm - 7:30pm Amy Campbell https://github.com/mikeal/caseless