Loading...

MLMU.cz - Radim Řehůřek - Word2vec & friends (7.1.2015)

10,385 views

Loading...

Loading...

Transcript

The interactive transcript could not be loaded.

Loading...

Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jan 14, 2015

7th Machine Learning Meetup - Jan 7th 2015 at Paralelni Polis, Prague, Czech Republic

Our website: http://www.mlmu.cz
Twitter account: https://twitter.com/mlmucz
Facebook page: https://www.facebook.com/machinelearn...

Talk: Radim Řehůřek - Word2vec & friends
Place: Paralelní Polis, Praha

Abstract:
Continuous vector representations capture semantic and syntactic properties of words and phrases, so that for example vector(“Montreal Canadiens”) - vector(“Montreal”) + vector(“Toronto”) is similar to vector(“Toronto
Maple Leafs”). I’ll go over a particular model published by Google, called word2vec, its optimizations, applications and extensions.
-----------------------------
Czech description:

7. Machine Learning Meetup - 7.1.2015 v Paralelní Polis

Přednáška: Radim Řehůřek - Word2vec & friends
Místo: Paralelní Polis, Praha

Abstrakt:
Continuous vector representations capture semantic and syntactic properties of words and phrases, so that for example vector(“Montreal Canadiens”) - vector(“Montreal”) + vector(“Toronto”) is similar to vector(“Toronto
Maple Leafs”). I’ll go over a particular model published by Google, called word2vec, its optimizations, applications and extensions.

Děkujeme Paralelní Polis za poskytnutí prostor (www.paralelnipolis.cz)

Zároveň děkujeme za podporu organizaci Upsilon Pi Epsilon (z ČVUT v Praze), díky které jsme mohli nahrávat meetup v o něco lepší kvalitě (která se snad bude i nadále zlepšovat).

Loading...


to add this to Watch Later

Add to

Loading playlists...