Backpropagation through structure
Technique for training recursive neural networks From Wikipedia, the free encyclopedia
Backpropagation through structure (BPTS) is a gradient-based technique for training recursive neural networks, proposed in a 1996 paper written by Christoph Goller and Andreas Küchler.[1]
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References
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