Difference between revisions of "AI: Anomaly Detection in logfiles"
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== Description == | == Description == | ||
=== Step 1 === | === Step 1 - Create a model === | ||
First you need to create a sequential model, which can be trained later. | |||
model = Sequential() | |||
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Revision as of 19:16, 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, 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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