Comments (5)
感谢你的提问。
NSC代码是在源码基础上整理的代码,IMDB数据集中设置训练轮数为400轮。实验中汇报的模型结果已经保存,如果有需要的话可以联系我发给你。
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同求模型结果,我用tensorflow复现,参数完全一致,在IMDB上只能达到49%,而且此时训练集上过拟合严重。
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我想问一下为什么我在电脑上跑的时候模型训练4、5次就out of memory了?
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关于权值矩阵的初始化在LSTMLayer.py中为什么这个地方有个2倍的关系呢?limV = numpy.sqrt(6. / (n_in + n_out * 2))
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Related Issues (20)
- Will it work without GPU? HOT 2
- when i run THEANO_FLAGS="floatX=float32,device=gpu" python train.py IMDB 10 occurred ValueError,
- 在下载data.zip的IMDB数据中,为什么词向量很多都是0 HOT 1
- 我的GPU是64 位的,训练指令配置32位,THEANO_FLAGS="floatX=float32,device=gpu" python train.py IMDB 10
- 使用GPU报内存错误,请问你的theano版本? HOT 1
- About the result. HOT 5
- NSC+UPA的模型中,为什么句子层和词汇层得到的user, product表示不同? HOT 1
- 训练train的疑问 HOT 2
- 训练一直会有错误。请求指导? HOT 2
- 可以支持中文吗? HOT 2
- can this be used on Windows computer? HOT 7
- i need help HOT 1
- 您好,想问下这个用户和产品注意力的词典或者矩阵是怎么建立的呢?不太明白。谢谢您的指导! HOT 2
- 数据集的下载链接访问受限 HOT 1
- What is 'self.output = outs[1]' in "LSTMLayer.py" means?
- 关于LSTMModel.py的问题 HOT 3
- 代码容易跑崩 HOT 1
- 词向量训练 HOT 1
- Pre-train the 200-dimensional word embeddings on each dataset HOT 1
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