Deep Learning For Time Series Data

버전 1.0.2 (1.86 MB) 작성자: MathWorks Student Competitions Team

The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data.

https://github.com/mathworks/deep-learning-for-time-series-data

팔로우

5.0

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다운로드 수: 972

업데이트 날짜: 2020/11/23

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The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

The video series (in Chinese) on this topic can be found as follows:
https://www.mathworks.com/videos/series/deep-learning-for-time-series-data.html

인용 양식

MathWorks Student Competitions Team (2024). Deep Learning For Time Series Data (https://github.com/mathworks/deep-learning-for-time-series-data/releases/tag/v1.0.2), GitHub. 검색됨 2024/4/25.

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개발 환경: R2020a

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버전	게시됨	릴리스 정보
1.0.2	2020/11/23	See release notes for this release on GitHub: https://github.com/mathworks/deep-learning-for-time-series-data/releases/tag/v1.0.2	다운로드
1.0.1	2020/9/21	See release notes for this release on GitHub: https://github.com/mathworks/deep-learning-for-time-series-data/releases/tag/v1.0.1	다운로드
1.0	2020/9/17		다운로드

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