Deep Learning for Hammering Test
Deep learning is spreading not only to images but also to one-dimensional signals such as audio. It can flexibly handle complex problems in various environments that were difficult with conventional signal analysis.
In this file, you can try a simple deep learning for audio data using “Hammering Test” as an example in a few minutes.
This demo introduces a workflow from "acquisition of audio data" to "network designing and learning” .
#Demo Video (in Japanese)
demo.https://jp.mathworks.com/videos/deep-learning-for-hammering-test-1576046662504.html
[8:24~] : the result of this script
Zitieren als
Kazuya Machida (2024). Deep Learning for Hammering Test (https://github.com/k-machida/deeplearning-hammering-en/releases/tag/v1.1), GitHub. Abgerufen .
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Version | Veröffentlicht | Versionshinweise | |
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1.1 | See release notes for this release on GitHub: https://github.com/k-machida/deeplearning-hammering-en/releases/tag/v1.1 |
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1.0.0 |