Getting Started | Deep Learning Anomaly Detection | Zebra

In this tutorial will introduce you to the Detect Anomalies tool available within Zebra Aurora Deep Learning™. By creating a sample application from start to finish you will learn how to work with this tool effectively and train a working deep learning model. We will also learn how to use the Visualize Heatmap filter, which allows a greater control over the heatmap preview. Chapters: 00:00 Introduction 00:23 Tool Overview 01:12 Sample Application Overview 01:37 Choosing the right Detect Anomalies filter 02:36 Working with Detect Anomalies in Deep Learning Editor 03:46 Classifying training images 04:19 Setting training parameters & model training 07:18 Training results 07:51 Adding & evaluating test images in the Deep Learning Editor 08:38 Checking the training results 10:26 Working with the VisualizeHeatmap filter Learn more about our software products at https://bit.ly/3Ctu7bY To learn what is deep learning, visit: https://bit.ly/4aoftBR #ZebraTechnologies #ZebraAuroraVisionStudio #DeepLearning #MachineLearning #MachineVision #ZebraTutorial #ComputerVision