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TensorFlow for Deep Learning Analysis of Images
+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 Learning, Module 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