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TensorFlow for Deep Learning Analysis of Images

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+DataScience (+DS) is a new initiative at Duke providing online training modules and in-person learning experiences to help people in all disciplines in the Duke community learn more about Data Science. Before registering for any of the in-person workshops, you should complete one or more of the four pre-requisite online modules


TensorFlow, the Google platform for deep learning, is an attractive tool for building, training and testing deep neural networks. In this session participants will be given a hands-on introduction to TensorFlow, with a specific focus on how it may be used for image analysis.

Instructor: John Sigman

Location: Fitzpatrick Building, Schiciano Auditorium Side B

Prerequisite Module(s): Module 1: Introduction to Machine Learning, Module 2: Basics of Model LearningModule 3: Image Analysis and the Convolutional Neural Network

Register: https://training.oit.duke.edu/enroll/common/show/21/172631

Date:
Tuesday, October 16, 2018
Time:
4:00pm - 6:00pm
Location:
Other (see event description)
Campus:
West Campus
Categories:
Learning Technologies  

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