torch time series, take three: Sequence-to-sequence prediction
This article is originally published at https://blogs.rstudio.com/tensorflow/In our overview of techniques for time-series forecasting, we move on to sequence-to-sequence models. Architectures in this family are commonly used in natural language processing (NLP) tasks, such as machine translation. With NLP, however, significant pre-processing is required before proceeding to model definition and training. In staying with our familiar numerical series, we can fully concentrate on the concepts.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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