This demo shows a simple deep learning application for audio data.
이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
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
인용 양식
Kazuya Machida (2026). Deep Learning for Hammering Test (https://github.com/k-machida/deeplearning-hammering-en/releases/tag/v1.1), GitHub. 검색 날짜: .
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.1 | See release notes for this release on GitHub: https://github.com/k-machida/deeplearning-hammering-en/releases/tag/v1.1 |
||
| 1.0.0 |
