Deep Learning for Image Classification: Identifying Distracted Driving Behavior

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AnacondaCon 2018 Priya Sundararaman presents the experiences our team has had using Deep Learning on the Anaconda framework. Our solution involves building CNN models on 2D and 3D images of drivers to identify and classify distracted driving behavior. The talk will discuss the challenges, the algorithms we used, and python solutions for collecting data from the 3D camera sensors and 2D camera, preprocessing data, creating our models, and predicting outcomes.

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