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PyData Athens Meetup: Automated Product Categorization using Deep Learning

Ημερομηνία/Ώρα
Date(s) - 25/01/2019
18:00 - 19:30

Τοποθεσία
the cube

Κατηγορία(ες)


PyData Athens Meetup: Automated Product Categorization using Deep Learning

The Cube

8 Kleisovis Str, 10677 · Athens

Program

6:00-6:30 Networking time

6:30-7:30 Automated Product Categorization At Skroutz, Andreas Loupasakis, Senior Software Engineer at Skroutz.

(https://www.kaggle.com/andreaslup,
https://github.com/alup,
https://twitter.com/andy_lupo
https://www.linkedin.com/in/andreas-loupasakis-06399a47 )

Abstract

A brief description of how we use Deep Learning at Skroutz to categorize thousands of products on a daily basis. Skroutz indexes millions of products in its search engine, dispatched by thousands of e-shops. It is mission critical to ensure these products are matched to the most relevant categories in the category tree.

Last year we released a new version of our category classifier called “Megatron” which significantly improved our automated categorization accuracy.

We are going to take a look at the building blocks of our categorization service. Infrastructure, open source libraries, training procedures, and neural network architectures are some of the key points of this presentation.
[masked] Presentation to be announced.

All skill levels are welcome!

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