Presentation: Deep Representation: Building a Semantic Image Search Engine

Track: Applied AI & Machine Learning

Location: Pacific LMNO

Duration: 11:50am - 12:40pm

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Slides: Download Slides

Level: Advanced

Persona: Backend Developer, Data Scientist, Developer, ML Engineer

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Abstract

Many problems combine Natural Language Processing and Computer Vision.  Sharing his experience of having led over a hundred applied AI projects at Insight, Emmanuel will give a step by step tutorial on how to build a semantic search engine for text and images, with code included! The approaches presented extend naturally to other applications such as image and video captioning, reading text from videos, selecting optimal thumbnails and generating code from sketches of websites (all projects that were tackled at Insight), and more!

Speaker: Emmanuel Ameisen

Head of AI @InsightDataSci

Emmanuel Ameisen is the Head of AI at Insight Data Science. Emmanuel has years of experience going from product ideation to effective implementations. At Insight, he has led over a hundred AI projects from ideation to finished product in a variety of domains including Computer Vision, Natural Language Processing, and Speech Processing. Previously, he implemented and scaled out predictive analytics and machine learning solutions for Local Motion and Zipcar. Emmanuel holds master’s degrees in artificial intelligence, computer engineering, and management from three of France’s top schools.

Find Emmanuel Ameisen at

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https://www.linkedin.com/in/ameisen

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