AI: Anomaly Detection in logfiles

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Revision as of 19:16, 12 July 2022 by ARessl (talk | contribs) (→‎Step 1)
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 ➤ 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, Pandas, sklearn, numpy, seaborn, matplotlib
  • Software: Pycharm or any other python editor

Description

Step 1 - Create a model

First you need to create a sequential model, which can be trained later.

model = Sequential()

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Step 2

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Used Hardware

Courses

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References

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