语音识别,比如会议语音记录转文字。Google 发表的使用Seq2Seq做语音识别的论文《A Comparison of Sequence-to-Sequence Models for Speech Recognition》 图片- 文字 基于描述生成图像 图片摘要、描述生成,图像描述生成的论文《Sequence to Sequence – Video to Text》https://arxiv.org/pdf/1505.00487.pdf Encoder-D...
Recently, there has been a lot of research on differentpre-trainingobjectives for transformer-based encoder-decoder models,e.g.T5, Bart, Pegasus, ProphetNet, Marge,etc..., but the model architecture has stayed largely the same. The goal of the blog post is to give anin-detailexplanation of...
参考链接: https://machinelearningmastery.com/encoder-decoder-models-text-summarization-keras/
Encoder-decoder modelsImage matting is a technique used to extract the foreground and background from a given image. In the past, classical algorithms based on sampling, propagation, or a combination of the two were used to perform image matting; however, most of these have produced poor ...
标准化:为了提高训练的稳定性,标准化每个transformer子层输入来替换原始标准化输出;(Open pre-trained transformer language models) 使用PaLM中的SwiGLu作为激活函数,使用SwiGLU来代替Relu,dinmension由PaLM的4d->2/3*4d 旋转EMbedding:采用旋转Embedding来代替绝对位置Embedding ...
natural-language-processingdeep-learningprogram-synthesiscode-generationencoder-decoder-modellong-short-term-memoryautomatic-programmingsequential-models UpdatedJan 6, 2018 Python This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras ...
语音识别,比如会议语音记录转文字。Google 发表的使用Seq2Seq做语音识别的论文《A Comparison of Sequence-to-Sequence Models for Speech Recognition》 图片- 文字 基于描述生成图像 图片摘要、描述生成,图像描述生成的论文《Sequence to Sequence – Video to Text》https://arxiv.org/pdf/1505.00487.pdf ...
,都可以统称为Seq2Seq模型。 而Seq2Seq使用的具体方法基本都属于Encoder-Decoder模型(强调方法)的范畴。 总结一下的话:Seq2Seq属于...Encoder-Decoder模型。 Google 发表的使用Seq2Seq做语音识别的论文《A Comparison ofSequence-to-SequenceModelsforSpeech Recognition ...
of Interspeech, 2018. [3] Y. He, R. Prabhavalkar, K. Rao, W. Li, A. Bakhtin, and I. McGraw, “Streaming Small-footprint Keyword Spotting Using Sequence-to-Sequence Models,” in Proc. ASRU, 2017. 点击关注,第一时间了解华为云新鲜技术~...
这听起来更像是人的注意力,这也是Recurrent Models of Visual Attention文中的作法。然而,强化学习模型不能用反向传播算法端到端训练,因此它在NLP的应用不是很广泛(我本人反而觉得这里有突破点,数学上的不可求解必然会得到优化,attention model在RL领域的应用确实非常有趣)。