The generative model suggests a simple modification for training---use an input to produce several synthetic inputs with the same label, and include them in the backprop training.
Source: wiktionary
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The generative model suggests a simple modification for training---use an input to produce several synthetic inputs with the same label, and include them in the backprop training.
Source: wiktionary
In machine learning, backpropagation of error (‘backprop’) is the algorithm most often used to train deep neural networks and is the most successful learning procedure for these networks.
Source: wiktionary
Data sourced from Wiktionary, WordNet, CMU, and other open linguistic databases. Updated March 2026.