How we improved our semantic search using Neural Networks


Details
Bonn Code meetup #9! :-)
This time we are having a short meetup around the topic of neural networks. We are happy have Sebastian Hätälä and Philipp Glock presenting us a use case in which they are using neural networks for a semantic search.
## Agenda 🧭
Times are in CET.
- 19:00 - 19:15 Arrival, get to know each other
- 19:15 - 20:00 Talk: How we improved our semantic search using Neural Networks
- 20:00 - open end Discussion and Q&A
## Talks 🎙
►Talk (19:15 - 20:00 CET)
Title: How we improved our semantic search using Neural Networks
Description:
Our Data Science team uses Graph Convolutional Networks for different problems at LeanIX. Using a practical example we want to showcase the use of Graph Convolutional Networks and invite you to take a peek behind what it is that makes such neural networks worth implementing.
About the speakers:
Sebastian Hätälä is a Full Stack ML Engineer, passionate about developing product features that have users aweing. After a decade in IT Consulting, Sebastian joined the Data Science Team at LeanIX. Most recently, this team has successfully implemented a well-performing embedding of Fact Sheets using Graph Neural Networks.
Philipp Glock is a python enthusiast that wants to take machine learning models to production. He has experience building convolutional networks for image classification and transformers for text processing using pytorch.

How we improved our semantic search using Neural Networks