New answers tagged word-embeddings
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How is an embedding space optimized with respect to the loss function?
If we create a very simple NN with only one Embedding Layer in the model, it could be seen more clearly. For example, in the model:
Input: [batch_num, 2] ...
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0
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Interconnections between embeddings layer and LSTM layer
LSTM (as well as all recurrent neural networks) process one input vector, in this case corresponding to one word, at a time.
In each step, the RNN cell reads the input vector and updates its hidden ...
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