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Training is the part of machine learning whereby a model is "trained" on a define portion of a dataset to learn attributes and statistical features of the data. It's counterparts are called Testing and Validation. After training a model is tested and validated on another portion of the dataset.
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How to construct validation set for time series for NN?
Im new to the topic too but I think the Idea is to create a Train/Test-Set and then take the TrainSet and Split it again in 2 Sets (mostly called Train and Development Set) for example with a KFold-CV …