Difference between revisions of "AI: Anomaly Detection in logfiles"
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== Summary == | == Summary == | ||
This guide will create a basic AI to perform binary classification in order to detect anomalies in logfiles. | This guide will create a basic AI model to perform binary classification in order to detect anomalies in logfiles. | ||
This AI is also suitable for the [[Jetson AGX Xavier Development Kit]] | This AI model is also suitable for the [[Jetson AGX Xavier Development Kit]] | ||
== Requirements == | == Requirements == | ||
Revision as of 19:00, 12 July 2022
➤ IMPORTANT: This page is still under construction.
Summary
This guide will create a basic AI model to perform binary classification in order to detect anomalies in logfiles. This AI model is also suitable for the Jetson AGX Xavier Development Kit
Requirements
- Packages: TensorFlow, Keras
WIP (Work in progress)
Description
Step 1
WIP
Step 2
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Used Hardware
Courses
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References
WIP