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Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Results 11 DeepNLP-models-Pytorch issues
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**torch.nn.CrossEntropyLoss()** combines _LogSoftMax_ and _NLLLoss_ in one single class. Thus, there should be only **_"return out"_** instead of return **_"F.log_softmax(out)"_** in the _forward()_ function of some classification models.