Definition: DBX stands for "Data Boosting with X." It is a type of deep learning architecture designed to improve the accuracy of machine learning models by incorporating additional hidden layers or connections between nodes in the network. In simple terms, DBX stands for "Deep Learning + Boost," which means it combines the best features of both neural networks and deep learning techniques. Specifically, DBX uses a combination of convolutional, recurrent, and dense layer architectures to improve model performance and reduce computational complexity.
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