Deep Learning for Hammering Test

versión 1.1 (5.96 KB) por Kazuya Machida
This demo shows a simple deep learning application for audio data.

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Actualizada 24 Jun 2020

De GitHub

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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

Citar como

Kazuya Machida (2022). Deep Learning for Hammering Test (https://github.com/k-machida/deeplearning-hammering-en/releases/tag/v1.1), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019a
Compatible con cualquier versión
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Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.