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Deep Neural Networks with TensorFlow: A Quick Start Introduction
March 20 @ 2:00 pm - 4:00 pm
Modern Languages Building (MLB), Room 2001B
Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. TensorFlow is a popular software library that is often used to construct and train DNNs. In this workshop, participants will learn how to quickly use the high-level TensorFlow Estimator module to perform nonlinear regression and classification with standard fully connected DNNs. We will also show how the Estimator module can be used to perform image classification using Convolutional Neural Networks (CNNs). All examples will use Python; some familiarity with Python is recommended. You are encouraged but not required to bring a laptop with TensorFlow already installed.