首先从类型上来讲，encoder和decoder指的是模型，embedding指的是tensor。encoder 编码器，将信息/数据进行...
针对机器翻译,提出 RNN encoder-decoder. encoder与decoder是两个RNN,它们放在一起进行参数学习,最大化条件似然函数。 网络结构: 注意输入语句与输出语句长度不一定相同。 在encoder端,t时刻的隐藏状态h表示为 t-1时刻的h 以及t时刻的输入x的函数,直到输入走完,最后一个hidden state h认为是这个句子的一个summary,...
For machine learning based coding, the present invention provides an encoder side device (100) configured to, for learning: apply a space transformation to a set of prediction errors (101) to obtain a set of space-transformed prediction errors (102) in a reduced space, apply machine learning ...
1.主要完成的任务是能够将英文转译为法文,使用了一个encoder-decoder模型,在encoder的RNN模型中是将序列转化为一个向量。在decoder中是将向量转化为输出序列,使用encoder-decoder能够加入词语与词语之间的顺序信息。 2.另一个任务是将序列表达为一个向量,利用向量能够清楚的看出那些语义上相近的词聚集在一起。 3.在设...
In this tutorial, you will discover how to implement the complete Transformer model and create padding and look-ahead masks. After completing this tutorial, you will know: How to create a padding mask for the encoder and decoder How to create a look-ahead mask for the decoder How to join ...
2. RNN Encoder–Decoder 2.1 Preliminary: Recurrent Neural Networks 2.2 RNN Encoder–Decoder 2.3 Hidden Unit that Adaptively Remembers and Forgets 3 Statistical Machine Translation 3.1 Scoring Phrase Pairs with RNN Encoder–Decoder 3.2 Related Approaches: Neural Networks in Machine Translation Abstract ...
Encoder-Decoder方法最早在论文《Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation》中提出,该论文使用了两个RNN网络来完成机器翻译(Statistical Machine Translation: SMT)工作,第一个RNN网络把一串符号序列编码成一个固定长度的向量表示,第二个RNN网络把这个固定长度的向量解码...
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation In this paper, we propose a novel neural network model called RNN Encoder-Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a s... K Cho,B Van Merrienboer,C Gulcehre,......
python nlp deep-learning tensorflow gpu machine-translation neural-networks image-captioning neural-machine-translation sequence-to-sequence mt nmt encoder-decoder Updated Apr 28, 2020 Python Load more… Improve this page Add a description, image, and links to the encoder-decoder topic page so...
The neural machine translation models often consist of an encoder and a decoder. The encoder extracts a fixed-length representation from a variable-length input sentence, and the decoder generates a correct translation from this representation. In this paper, we focus on analyzing the properties of...