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TS-6: Deep learning for time series

URL
https://www.youtube.com/watch?v=81AEI0tj0Kk
Views
2581
Description
Abstract: Time series are, first and foremost, sequences - so it's only natural to apply sequence modeling approach from deep learning to such problems. In this episode we present the vintage DL methods (RNN, GRU and LSTM) and show their applications for single- and multistep forecasting. We also take time to explore the connection RNN have to curve fitting - via the ES-RNN model.
Rating
5
Name
Abhishek Thakur
Date
2022/05/27
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