Week Introduction

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Skills You'll Learn

Word Embedding, Sentiment with Neural Nets, Siamese Networks, Natural Language Generation, Named-Entity Recognition

Reviews

4.5 (864 ratings)

  • 5 stars
    71.41%
  • 4 stars
    17.47%
  • 3 stars
    5.55%
  • 2 stars
    2.77%
  • 1 star
    2.77%

BS

Sep 25, 2020

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Great Course as usual. Tried siamese models but got a very different results. Will need to study more on the conceptual side and implementation behind them. But overall, I am glad I touched LSTMs.

KT

Sep 24, 2020

Filled StarFilled StarFilled StarFilled StarFilled Star

The lectures are well planned--very short and to the point. The labs offer immense opportunity for practice, and assignment notebooks are well-written! Overall, the course is fantastic!

From the lesson

Recurrent Neural Networks for Language Modeling

Learn about the limitations of traditional language models and see how RNNs and GRUs use sequential data for text prediction. Then build your own next-word generator using a simple RNN on Shakespeare text data!

Taught By

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    Younes Bensouda Mourri

    Instructor

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    Łukasz Kaiser

    Instructor

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    Eddy Shyu

    Senior Curriculum Developer

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