Covers: theory of Recurrent Neural network
Estimated time needed to finish: 30 minutes
Questions this item addresses:
  • What is RNN language model?
How to use this item?

Read chapter 9 section 9.2 and 9.3 . You can use next resource if you like video based learning.

Author(s) / creator(s) / reference(s)
Daniel Jurafsky
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Encoder-decoder Sequence-to-sequence Network Models

Contributors
Total time needed: ~2 hours
Objectives
Learn basics of sequence-to-sequence model and it's applications.
Potential Use Cases
It's applied to wide range of applications in Natural language processing include machine translation, summarization, question answering and dialogue.
Who is This For ?
BEGINNERData Scientist new to NLP
Click on each of the following annotated items to see details.
Resources5/5
BOOK_CHAPTER 1. Encoder-Decoder network explained
  • What is encoder- decoder network ?
30 minutes
BOOK_CHAPTER 2. Introduction to recurrent neural network (RNN) language model
  • What is RNN language model?
30 minutes
VIDEO 3. Recurrent Neural network language model
  • What is recurrent neural network (RNN) and RNN's as Language Models?
30 minutes
ARTICLE 4. Encoder-decoder model application in machine translation
  • How encoder-decoder is used in neural machine translation?
13 minutes
ARTICLE 5. Implement sequence-to-sequence model in Pytorch
  • How to implement simple sequence to sequence machine translation model?
10 minutes

Concepts Covered

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