Manage a grouping of Training Examples. This is meant to make it easy to split a bunch of training examples into three types of data: o Training Data -- These are the data used to do the actual training of the network. o Validation Data -- These data are used to validate the network while training. They provide an independent method to evaluate how the network is doing, and make sure the network gets trained independent of noise in the training data set. o Testing Data -- The data which are used to verify how well a network works. They should not be used at all in the training process, so they provide a completely independent method of testing how well a network performs.
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