NVIDIA Fundametals of Deep Learning For Natural Language Processing
Explore how to convert text to machine understandable representation and train Machine Translators from one language to another using natural language processing (NLP).
PREREQUISITES: Basic experience with neural networks and Python, familiarity with linguistics
FRAMEWORKS: TensorFlow, Keras
Date and Time
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Registration
- Date: 26 Jun 2019
- Time: 11:59 AM to 06:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Rochester Institute of Technology
- Rochester, New York
- United States 14623
- Building: GLE
- Room Number: 1100
- Starts 04 June 2019 07:00 PM
- Ends 26 June 2019 07:59 AM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- 0 in-person spaces left!
- No Admission Charge
Speakers
Ray Ptucha
Deep Learning Institute Instructor
Biography:
Raymond Ptucha is an Assistant Professor in Computer Engineering and Director of the Machine Intelligence Laboratory at Rochester Institute of Technology. His research includes machine learning, computer vision, and robotics, with a specialization in deep learning. Ray was a research scientist with Eastman Kodak Company where he worked on computational imaging algorithms and was awarded 31 U.S. patents with another 19 applications on file. He graduated from SUNY/Buffalo with a B.S. in Computer Science and a B.S. in Electrical Engineering. He earned a M.S. in Image Science from RIT. He earned a Ph.D. in Computer Science from RIT in 2013. Ray was awarded an NSF Graduate Research Fellowship in 2010 and his Ph.D. research earned the 2014 Best RIT Doctoral Dissertation Award. Ray is a passionate supporter of STEM education, is an NVIDIA certified Deep Learning Institute instructor, Chair of the Rochester area IEEE Signal Processing Society, and is an active member of his local IEEE chapter and FIRST robotics organizations