Deep learning for time series. Convolutional models. 12.4 - Recap/ClipID:46604 previous clip next clip

Keywords: deep learning machine learning time series
Recording date 2023-01-30

Course

Machine Learning for Time Series 2022/2023

Lecturer

Dario Zanca

Via

IdM-login

Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Usual recap of the learned concepts and summary table for comparing FF-NNs, RNNs, and CNNs.

Up next in Chapter

Deep learning for time series. Attention-based models. 13.1 - Introduction
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Deep learning for time series. Attention-based models. 13.2 - Attention models
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Deep learning for time series. Attention-based models. 13.3 - The Transformer architecture
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Deep learning for time series. Attention-based models. 13.4 - Recap
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Domain adaptation (for time series). 14.1 - Introduction
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