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DevConf.IN'19 has ended
DevConf.IN is the annual Developer’s Conference organized by Red Hat, India. The event provides a platform to the FOSS community participants and enthusiasts to come together and engage in knowledge sharing activities through technical talks, workshops, panel discussions, hackathons and much more.

All you have to do is a FREE registration here. There is no admission or ticket charges applicable to be a part of the event. All the event activities will be in English.

We are committed to foster an open and welcoming environment for everyone at our conference. We have our inclusive code of conduct and media policies, which we expect to be duly adhered during the event.

When: August 2-3, 2019

Venue: Christ University - Bengaluru, India

Click here for more updates about DevConf.

Registration Link: https://devconfin19.eventbrite.com

Last Date of Registration: 31st July, 2019

We request you to mark the talks you’re interested to help save time.
Friday, August 2 • 11:15am - 11:45am
Low-latency multi-label text classifier using BERT

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This session we will review Google BERT - a tried and tested, as well as State of The Art technique for NLP tasks. We will go through the text encoding process which is similar to word-vectors approach. We will also explore the WordPiece tokenizer and see how that covers much of English language words. Then we will bulid a Multi-Laber text classifier using the encodings. Once we have the basic framework ready we will train the models and see how it performs. Next, we will go through key-steps to optimze the resulting model(s) for serving. Finally we will see a demo of the classifier we just built that runs quite fast. All the model training code will be in Python and some parts of model serving will be in Java.


https://github.com/tuxdna/bert-multi-label-classifier/

Speakers
avatar for Saleem Ansari Ansari

Saleem Ansari Ansari

Sr. Machine Learning Engineer, Selerity Inc.
Software Engineer, with 12 years of experience in Software Architecture, Design and Development with Machine Learning, Information Retrieval, and Web Application technologies.​https://github.com/tuxdna... Read More →