Deep Learning Systems
In the context of deep learning, reconstruction refers to the process of rebuilding input data from a compressed or altered representation. This is important for assessing how well a model has learned to capture the essential features of the data and can significantly influence the performance of subsequent tasks during pre-training and fine-tuning phases.
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