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Machine Translation

Great Learning via YouTube

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Overview

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This course introduces statistical and neural machine translation, then applies text vectorization, recurrent networks, LSTM/GRU models, and encoder-decoder sequence-to-sequence learning to build an English-to-French translator in Python with Keras.

Syllabus

Introduction.
Agenda.
What is Machine Translation?.
Statistical Machine Translation Model.
Neural Machine Translation Model.
NLP Recap with Deep Learning - Text Vectorisation.
NLP Recap with Deep Learning - RNN.
NLP Recap with Deep Learning - Exponential Gradient Problem.
NLP Recap with Deep Learning - LSTM.
NLP Recap with Deep Learning - GRU.
Sequence to Sequence Model.
Usecase.
Summary.

Taught by

Great Learning

Reviews

4.5 rating, based on 2 Class Central reviews

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  • Surya Narayanan
    1
    it is very usefull couse to learn about RNN,LSTM,GRU and seq2seq model . create more video like this especially about LLM models
  • Profile image for Nessma Diab
    Nessma Diab
    Good intro to MT, I couldn't find the script for the use case, though, and I had to re-write from the scratch.
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