Comments (2)
严格来说的确不完全相同,原论文中Beta的确只有一个矩阵,不过因为本质上Beta矩阵对应的是decoder的权重,我出于更一般化和更强的表达能力的考虑,允许对其加入更多的隐层,进行一些非线性变换;如果确实只要“beta矩阵”(只做一次线性变换),去掉decoder中的隐层就好,对应的代码在这个位置:https://github.com/zll17/Neural_Topic_Models/blob/1021fc76eba361ff66c482c2bbd63b18a15ceff8/models/GSM.py#L23,
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Related Issues (16)
- SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes HOT 1
- Error on using Spacy Tokenizer HOT 21
- Inference from Checkpoints HOT 5
- 作者您好关于BATM模型的问题 HOT 1
- NVDM-GSM最后存下来的embedding是不是文档的主题向量?怎么复原到文字表述的topic
- Inference for BATM HOT 2
- GSM实现有问题? HOT 7
- 原版的DailyDialog有13118个对话,与zhdd的对应关系是怎样的? HOT 1
- Inference not working!
- Stopwords.txt 如何产生
- Python版本问题 HOT 2
- AttributeError: 'ETM' object has no attribute 'dist' HOT 1
- Topics as they apply to documents HOT 2
- Inference problem when trying to convert to json HOT 2
- 请问模型训练出来怎么使用? HOT 1
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