Tag the Data

Before training a neural network you need to partition the columns and the rows of your spreadsheet. Each column used by the neural network can either be tagged as an input or a desired output. The rows are then segmented into one or more of the following four groups:

• Training - Data used by the neural network to learn from.
• Cross Validation - Data used to evaluate the performance during the learning process to avoid over-training.
• Testing - Data used to evaluate the performance after the training is complete.
• Production - Input data to feed into the trained neural network to produce an output.

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