... <看更多>

nn.Embedding is usually used at the head of a network to cast encoded data into a lower dimensionality space. It won't solve your problem by ... ... <看更多>

nn.Embedding is a generic way to allow for learning an embedding for arbitrary discrete data. This can be useful for encoding other types of ... ... <看更多>

Hi, me again. Skimming through your repositories, I am wondering, what is the difference between using embeddings like nn. ... <看更多>

embed = nn.Embedding(num_embeddings=V, embedding_dim=D, padding_idx=0).cuda() lstm = nn.LSTM(input_size=D, hidden_size=H, num_layers=1, ... ... <看更多>