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  • πŸ€Έβ€β™€οΈ Applications
  • πŸ”  Neural Machine Translation
  • πŸ•΅οΈβ€β™€οΈ Neural Machine Translation with Attention
  • πŸ”Š Speech Recognition

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  1. Sequence Models In Deep Learning

Mixed Info On NLP

Mixed Info On Natural Language Processing

πŸ€Έβ€β™€οΈ Applications

πŸ”  Neural Machine Translation

  • A machine translation model is similar to a language model except it has an encoder network placed before.

  • It is sometimes referred as a conditional language model.

πŸ•΅οΈβ€β™€οΈ Neural Machine Translation with Attention

  • If you had to translate a book's paragraph from French to English, you would not read the whole paragraph, then close the book and translate πŸ˜…

  • Even during the translation process, you would read/re-read and focus on the parts of the French paragraph corresponding to the parts of the English you are writing down πŸ€”

  • The attention mechanism tells a Neural Machine Translation model where it should pay attention to at any step πŸ‘©β€πŸ«

πŸ”Š Speech Recognition

  • Converting an audio (x-input) to text (y-output)

    • By measuring air pressure πŸ™„

  • Sequence-to-Sequence model

TODO: Add details

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Last updated 4 years ago

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