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JoVE Journal Behavior
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
 

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Article DOI: 10.3791/60763-v • 05:41 min • February 6th, 2020
February 6th, 2020 •
1, 1
1Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles

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The purpose of this protocol is to utilize pre-built convolutional neural nets to automate behavior tracking and perform detailed behavior analysis. Behavior tracking can be applied to any video data or sequences of images and is generalizable to track any user-defined object.

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Keywords: Deep Learning Behavior Analysis Automated Behavior Quantification DeepBehavior Toolbox Tensor Box Object Detection Multi-object Tracking Human Pose Tracking MATLAB Convolutional Neural Network YOLOv3 Object Labeling Deep Learning Implementation
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