Attention-seq2seqFusion feature00-0199-00Labanotation is a widely-used notation system for dance recording. Numerous methods for automatic Labanotation generation from motion capture data have been proposed to save time and human labor. However, dance performance variations, data noises, and ...
hidden=hidden.unsqueeze(1).repeat(1, seq_len,1)# [batch_size, seq_len, hidden_size] energy=torch.tanh(self.attn(torch.cat((hidden, encoder_output),dim=2)))# [batch_size, seq_len, hidden_dim] attention=self.v(energy).squeeze(2)#[batch_size, seq_len] returnattention#[batch_size,...
#The following setting is the configuration file for source sequence encoder which is only for sequence-to-sequence task that MODEL_TYPE equals to SEQ2SEQ. #In this example, since MODEL_TYPE is SEQLABEL, so we comment it out. #SEQ2SEQ_AUTOENCODER_CONFIG = D:\RNNSharpDemoPackage\config_se...
run-length limited codes; seq2seq model; RNN-based decoding; unmanned aerial vehicles; visible light communication1. Introduction Visible light communication (VLC) [1,2,3], a typical short-range optical wireless communication using 380 to 780 nm in the visible light spectrum, has recently ...
一、论文的基准模型 参考 https://blog.csdn.net/dcrmg/article/details/80327069 Sequence-to-Sequence Seq2Seq是一类End-to-End算法框架,是从序列到序列转换模型框架,一般是通过Encoder-Decoder(编码/解码)模...Abstractive Text Summarization using Seq2Seq RNNs and Beyond 引 再坚持一下,就会等到黎明破晓,...
[seq[-1]]#'e' is target27input_batch.append(np.eye(n_class)[input])28target_batch.append(target)2930returnVariable(torch.Tensor(input_batch)), Variable(torch.LongTensor(target_batch))313233classTextLSTM(nn.Module):34def__init__(self):35super(TextLSTM, self).__init__()3637self.lstm ...
Acknowledgements My implementation utilizes code from the following: DeepLearnXMU's ABD-NMT repo pytorchseq2seqattentionneural-machine-translationsequence-to-sequencenmtrnnsearch Readme Activity 49stars 3watching 9forks Packages No packages published
Seq2seq models based on Recurrent Neural Networks (RNNs) have recently received a lot of attention in the domain of Semantic Parsing for Question Answering. While in principle they can be trained directly on pairs (natural language utterances, logical forms), their performance is limited by the...
Unsteady-State Oil Temperature Prediction Model for Long Distance Heated Crude Oil Pipeline Based on RNN-Seq2seqTao YuChuanxian LiWanyu ZhengEkoloji Dergisi
It used mouse data and selected a combination of MIWI CLIP-seq-derived features and position-derived features to train an SVM classifier. A training area under the curve (AUC) of 0.87 was achieved, and 3781 mRNAs from 2587 protein-coding genes were predicted as potential piRNA targets. pir...