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The CRA-W Distinguished Lecture Series at Pace University: Workshop on Deep Learning


April 28, 2017

Pace University Seidenberg School of CSIS
163 William Street, New York, NY, United States



Event Contact

Dr. Juan Shan
jshan@pace.edu


Event Type

DLS


Event Category

CRA-WP


Tags

DLS, Workshop on Deep Learning

Overview

CRA-W is proud to sponsor Pace University’s Workshop on Deep Learning via the Distinguished Lecture Series Program. This event will feature a talk by Google researcher Anna Goldie on Deep Learning, followed by a hands on workshop. The workshop will be succeeded by a panel session featuring the speaker, CS chairperson at Pace University Dr. Christelle Scharff and graduate student Vanessa Rene.

For more information

 

Agenda (PDF)

Speakers

CRA-W is proud to sponsor the following speakers for this event:

Anna Goldie Anna Goldie

Anna Goldie is a researcher at Google She is working on deep learning research in the Brain team. She focuses on language understanding, question-answering, and conversational modeling.

 


Christelle Scharff   Christelle Scharff

Dr. Christelle Scharff is the Computer Science Chairperson, at Pace University. She obtained her PhD in Computer Science from the Henri Poincaré University of Nancy in France. Her research interest is in the development and implementation of graph-based decision procedures for special domains. She is the recipient of the IBM Smarter Planet Faculty Innovation Award for her work in developing mobile solutions to improve people’s lives.

Logistics

Please be sure to bring your computer and install Python and TensorFlow before the event.

Eligibility

This event is free and open to the public.

CRA - Uniting Industry, Academia and Government to Advance Computing Research and Change the World.
CCC - Catalyzing the computing research community and enabling the pursuit of innovative, high-impact research.
CRA-W - Increasing the success and participation of underrepresented communities in computing research.
CRA-E - Addressing society’s need for a continuous supply of talented and well-educated computing researchers.
CERP - Promoting diversity in computing through evaluation and research.
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