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Seq2seq is a family of machine learning approaches used for natural language processing. Applications include language translation, image captioning, conversational models, and text summarization. Seq2seq uses sequence transformation: it turns one sequence into another sequence. 展开
One naturally wonders if the problem of translation could conceivably be treated as a problem in cryptography. When I look at an article in Russian, I say: 'This is really written in English, but it … 展开
In 2019, Facebook announced its use in symbolic integration and resolution of differential equations. The company claimed that it could solve … 展开
• "A ten-minute introduction to sequence-to-sequence learning in Keras". blog.keras.io. Retrieved 2019-12-19.
• Adiwardana, Daniel; Luong, Minh-Thang; So, David R.; Hall, Jamie; Fiedel, Noah; Thoppilan, Romal; Yang, Zi; Kulshreshtha, Apoorv; Nemade, … 展开Encoder
The encoder is responsible for processing the input sequence and capturing its essential information, … 展开CC-BY-SA 许可证中的维基百科文本 Seq2Seq模型 - 维基百科，自由的百科全书
Seq2seq（Sequence to sequence）模型，是将序列（Sequence）映射到序列的神經網絡機器學習模型。這個模型最初設計用於改進機器翻譯技術，可容許機器通過此模型發現及學習將一種語言的語句（詞語序列）映射到另一種語言的對應語句上。 除此之外，Seq2Seq也能廣泛地應用到各種不同的技術上，如聊天機器人、Inbox by Gmail等，但需要有配對好的文本集才能訓練出對應的模型。
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Seq2Seq模型 - 維基百科，自由的百科全書 - zh.wikipedia.org
网页Seq2seq（ Sequence to sequence ）模型，是將序列（ Sequence ）映射到序列的神經網絡機器學習模型。 這個模型最初設計用於改進 機器翻譯 技術，可容許機器通過此模型發現 …
Transformer (deep learning architecture) - Wikipedia
网页The new model was a seq2seq model where the encoder and the decoder were both 8 layers of bidirectional LSTM. [28] It took nine months to develop, and it achieved a higher level of performance than the statistical …
Quoc V. Le - Wikipedia
网页Lê Viết Quốc (born 1982), [1] or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and a machine learning pioneer at Google Brain, which he …
Seq2Seq Explained - Papers With Code
网页Seq2Seq, or Sequence To Sequence, is a model used in sequence prediction tasks, such as language modelling and machine translation. The idea is to use one LSTM, …
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Deep Learning: The Transformer. Sequence-to …
网页2019年6月23日 · Sequence-to-Sequence (Seq2Seq) models contain two models: an Encoder and a Decoder (Thus Seq2Seq models are also referred to as Encoder-Decoders) Recurrent Neural Networks (RNNs) …
NLP From Scratch: Translation with a Sequence to …
网页It would be difficult to produce a correct translation directly from the sequence of input words. With a seq2seq model the encoder creates a single vector which, in the ideal case, encodes the “meaning” of the input …
Overview - seq2seq - GitHub
网页tf-seq2seq is a general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.
GitHub - google/seq2seq: A general-purpose encoder …
网页18 行 · A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more. The official code used for the …
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