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Backpropagation through structure : ウィキペディア英語版
Backpropagation through structure

Backpropagation Through Structure (BPTS) is a gradient-based technique for training recursive neural nets (a superset of recurrent neural nets) and is extensively described in a 1996 paper written by Christoph Goller and Andreas Küchler.
==References==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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