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training loss #5

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xhlbetter opened this issue Aug 31, 2023 · 2 comments
Open

training loss #5

xhlbetter opened this issue Aug 31, 2023 · 2 comments

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@xhlbetter
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3DMM's shape_para, exp_para, and Tm values are very large, causing a large loss in the early stages of training. How can this be addressed?
@xhlbetter
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xhlbetter commented Sep 11, 2023 •
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@lhyfst
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loss['shape_para_ms'] = self.rse(targets['shape_para'],shape_para_ms)*1e-5
loss['shape_para_is'] = self.rse(targets['shape_para'],shape_para_is)*1e-5

@xhlbetter
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想请问如何快速学到Tm的值，Tm矩阵的数据分布差异较大

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@xhlbetter