Training Workflow Explained
The training process involves a series of steps where data is fed into the model, loss is computed, and backpropagation is performed. Validation can occur at intervals throughout training, depending on research needs, with epochs representing a full pass through the dataset. The frequency of validation is flexible, allowing researchers to adapt their approach based on specific project requirements.In this clip
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