/TimeSeries-Seq2Seq-deepLSTMs-Keras

This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).

Primary LanguageJupyter Notebook

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