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April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Dylan Bargteil

Dylan Bargteil
Data Scientist in Residence, The Data Incubator

Website | @thedatainc

Dylan Bargteil is a data scientist in residence at the Data Incubator, where he works on research-guided curriculum development and instruction. Previously, he worked with deep learning models to assist surgical robots and was a research and teaching assistant at the University of Maryland, where he developed a new introductory physics curriculum and pedagogy in partnership with the Howard Hughes Medical Institute (HHMI). Dylan studied physics and math at the University of Maryland and holds a PhD in physics from New York University.


9:00am - 5:00pm Sunday, April 29 & Monday, April 30
Location: Morgan
Dylan Bargteil (The Data Incubator)
TensorFlow is an increasingly popular tool for deep learning. Dylan Bargteil offers an overview of the TensorFlow graph using its Python API. You'll start with simple machine learning algorithms and move on to implementing neural networks. Along the way, Dylan covers several real-world deep learning applications, including machine vision, text processing, and generative networks. Read more.
9:00am–5:10pm Monday, April 30, 2018