Can Non-Sequential Deep Learning Models outperform Sequential Models in time series Forecasting?
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When answering this question, focus on your understanding of the differences between non-sequential and sequential deep learning models. Consider discussing the strengths and weaknesses of each in the context of time series forecasting, such as how recurrent neural networks (sequential) excel in capturing temporal dependencies but may be outperformed by convolutional neural networks (non-sequential) in certain scenarios depending on the dataset and problem characteristics.
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