New Deep Learning Models for Natural Language Processing

March 1, 2018

March 1, 2018

7:00 pm To 9:00 pm

350 West Broadway, 10013

    Event Description


    Hi Deep Learning enthusiasts,

    We’ve been invited to talk Deep Learning at the AWS Loft by Deep Learning NYC!
    Our data scientist Alex Wolf will present the translator he developed using a new neural network architecture called the Transformer. Prior to this, our Deployment Strategist Charlie Cohen will give some introductory remarks on Dataiku’s end-to-end data science platform.

    A Novel Neural Network Architecture for Natural Language Processing:

    Deep Learning in NLP has been dominated in the past years by recurrent and convolutional models. But other models emerge to improve translation quality and performance.
    Alex has developed a translator for his team and clients using a new neural network architecture called the Transformer. Unlike traditional translator models, this one solely focuses on attention instead of recurrence and develops powerful NLP models in a fraction of the training time.
    Alex will give a quick intro to Dataiku’s end-to-end data science platform, explain how he built the translator, give a live demo of the translator in action, and discuss how the Transformer is able to overcome pitfalls of RNN models.

    Alex Wolf, Data Scientist at Dataiku:

    Alex is a Data Scientist at Dataiku, working with clients around the world to organize their data infrastructures and deploy data-driven products into production. Prior to that, he worked on software and business development in the tech industry and studied Computer Science and Statistics at Dartmouth College. He’s passionate about the latest developments in Deep Learning/Tech and works at enriching Dataiku’s NLP features.


    Analytics & Data Science by Dataiku NY

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