Deep Multi Modal Fusion
Deep Multi Modal Fusion



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„Deep Multi Modal Fusion“

Deep Multi Modal Fusion is a technique used to integrate multiple sources of information from different modalities (e.g. audio, video, text, image) to create a single, unified representation. This representation is often used to improve performance on tasks such as classification, recognition, and detection. It is an important part of many machine learning systems, as it allows the system to learn from multiple sources of data and make more accurate predictions.