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2017 GTC San Jose

L7149 - Linear Classification with TensorFlow

Session Speakers
Session Description

In this hands-on lab created with the help of Google, you will learn how to: use Pandas and tf.contrib to load, view and organize data; select and engineer data; train and evaluate a linear model and; use regularization to prevent overfitting. We will use the TF.Learn API in TensorFlow to solve a binary classification problem - predicting whether or not a person earns more than $50,000 a year. On completion of this lab, you will be able to go from dataset to trained linear model with multiple datasets.


Additional Session Information
Beginner
Instructor-Led Lab
Deep Learning and AI
General
2 hours
Session Schedule