Deep Learning for Time Series 3.5 - Transformers/ClipID:57765 previous clip next clip

Keywords: deep learning time series
Recording date 2025-05-11

Course

Seminar Advances in Deep Learning for Time Series

Lecturer

Dario Zanca

Via

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Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

In this video, we briefly introduce the SOTA architecture for sequential data, i.e., the Transformer architecture. 

Up next in Chapter

Deep Learning for Time Series 3.6 - Conclusions
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Dario Zanca
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Time-aware models 4.1 - Introduction
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Time-aware models 4.2 - Time-aware models
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Naga Venkata Sai Jitin Jami
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Time-aware models 4.3 - Ordinary Differential Equations (ODE)
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Naga Venkata Sai Jitin Jami
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Time-aware models 4.4 - Residual network and ODEnet
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Naga Venkata Sai Jitin Jami
2025-05-16
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