Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications
In many environmental applications, recurrent neural networks (RNNs) are often used to model physical variables with long temporal dependencies. However, due to mini-batch training, temporal relationships between training segments within the batch (intra-batch) as well as between batches (inter-batc...
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