skipgram-word2vec-keras's People
skipgram-word2vec-keras's Issues
Why use two Embedding Layer
Excuse me, in skipgram_embedding.py, from line 63 to line 67, why did you use two Embedding Layer?
embedded_pvt = Embedding(input_dim=vocab_size,
output_dim=vec_dim,
input_length=1)(input_pvt)
embedded_ctx = Embedding(input_dim=vocab_size,
output_dim=vec_dim,
input_length=1)(input_ctx)
Shouldn't it only need one Embedding Layer? Like this:
embedding = Embedding(input_dim=vocab_size, output_dim=vec_dim, input_length=1)
embedded_pvt = embedding(input_pvt)
embedded_ctx = embedding(input_ctx)
About the Embedding Layer
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