Assembling the pipeline: How to run training
Think of training as a marathon. One epoch is one full lap where the model has seen every image or row in your dataset exactly once. To finish the marathon successfully, we switch the model between two modes: training (where we change weights) and evaluation (where we only check accuracy, without storing gradients).
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