Encoder-decoder models were trained and hyperparameter tuning was performed for the same. Finally, the most suitable model has been chosen for the application. For testing the entire framework, drive cycle/speed
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/
These problems bring demand to explore efficient implementation of parallel Encoder–Decoder models without a padding strategy. In this work, we parallelized and optimized a Sequence-to-Sequence (Seq2Seq) model, the most basic Encoder–Decoder model from which almost all other advanced ones were ...
模型结构 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 ...
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》 图像描述生成(图片 – 文本) 通俗的讲就是「看图说话」,机器提取图片特征,然后用文字表达出来。这个应用是计算机视觉和 NLP 的结合。 图像描述生成的论文《Sequence to Sequence – Video to Text》...
亮点一:此模型为中文开源社区贡献了一个有代表性的编码器解码器大语言模型,其训练过程(包括数据收集与清洗、模型构建与训练)已完全开源。 亮点二:数据方面,OpenBA所使用的数据均公开可获取,模型的能力产生更加透明。 亮点三:针对中文instruction能力,我们基于开源的标注数据构建了大规模中文Flan数据集,并完全开放了其构...