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https://discuss.pytorch.org/t/how-does-nn-embedding-work/88518/8

How does nn.Embedding work?

I am new in the NLP field am I have some question about nn.Embedding. I have already seen this post, but I’m still confusing with how nn.Embedding generate the vector representation. From the official website and the ans…



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How does nn.Embedding work?

https://discuss.pytorch.org/t/how-does-nn-embedding-work/88518/8

I am new in the NLP field am I have some question about nn.Embedding. I have already seen this post, but I’m still confusing with how nn.Embedding generate the vector representation. From the official website and the ans…



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https://discuss.pytorch.org/t/how-does-nn-embedding-work/88518/8

How does nn.Embedding work?

I am new in the NLP field am I have some question about nn.Embedding. I have already seen this post, but I’m still confusing with how nn.Embedding generate the vector representation. From the official website and the ans…

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      I am new in the NLP field am I have some question about nn.Embedding. I have already seen this post, but I’m still confusing with how nn.Embedding generate the vector representation. From the official website and the ans…
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      ‘nn.Embedding’ is no architecture, it’s a simple layer at best. In fact, it’s a linear layer just with a specific use. Internally, nn.Embedding is – like a linear layer – a M x N matrix, with M being the number of words and N being the size of each word vector. There’s nothing more to it. It just matches a word (specified by an index) to the corresponding word vector, i.e., the corresponding row in the matrix.

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