sequence-to-sequence

ˈsiːkwəns tuː ˈsiːkwəns
Translation Definition
NEW

Translation of sequence-to-sequence into Russian,

Noun

technology

TECH.
machine learning method that converts one ordered set of data into another
TECH.
модель sequence-to-sequence модель преобразования последовательностей архитектура sequence-to-sequence sequence-to-sequence модель
  • The researchers applied a sequence-to-sequence to improve automatic speech recognition.Исследователи применили модель sequence-to-sequence, чтобы улучшить автоматическое распознавание речи.

Adjective

technology

TECH.
describing models changing an input series into an output series
TECH.
sequence-to-sequence seq2seq последовательностная
  • The engineer trained a sequence-to-sequence model for automatic text summarization.Инженер обучил sequence-to-sequence модель для автоматического суммирования текста.
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Synonyms and analogies of sequence-to-sequence in English

adj.broadcast journalistMore synonyms

Examples of sequence-to-sequence in a sentence

  • Modern chatbots rely on sequence-to-sequence for multilingual translation.
  • We compared several sequence-to-sequence architectures for speech translation.
  • Their new sequence-to-sequence approach improved chatbot responses significantly.

Translations of "sequence-to-sequence" in Context ordered by category and frequency

sequence-to-sequence

New architectures mainly emerge from work in MT, which acts as a Petri dish for sequence-to-sequence architectures.

Новые архитектуры в основном появляются из области машинного перевода, которая выступает в качестве чашки Петри для sequence-to-sequence архитектур.

Seq2Seq-Vis is focused on "sequence-to-sequence" models, the AI architecture used in most modern machine translation systems.

Seq2Seq-Vis основан на модели «sequence-to-sequence», архитектуре искусственного интеллекта, которую используют в большинстве современных систем машинного перевода.

Sequence-to-Sequence models are mainly used in question answering systems, chatbots, and machine translation.

Sequence-to-Sequence модели часто используются в вопросно-ответных системах, чат-ботах и машинном переводе.

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sequence-to-sequence: Examples and translations in context

The main bottleneck of sequence-to-sequence learning is that it requires to compress the entire content of the source sequence into a fixed-size vector.

Основным узким местом в sequence-to-sequence обучении является то, что все содержимое исходной последовательности требуется сжать в вектор фиксированного размера.

In 2014, Sutskever et al. proposed sequence-to-sequence learning, a general framework for mapping one sequence to another one using a neural network.

В 2014 году Суцкевер и соавт. предложили новую модель обучения - sequence-to-sequence (из последовательности в последовательность), общей концепцией которой является преобразование одной последовательности в другую с использованием нейронной сети.

Such multi-layer cells have been successfully used in sequence-to-sequence models for translation in Sequence to Sequence Learning with Neural Networks study.

Такие многослойные ячейки успешно использовались в sequence-to-sequence моделях для перевода в статье Sequence to Sequence Learning with Neural Networks study.

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