Course 3 Introduction

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Compétences que vous apprendrez

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

Avis

4.5 (947 évaluations)

  • 5 stars
    70,85 %
  • 4 stars
    17 %
  • 3 stars
    6,12 %
  • 2 stars
    2,95 %
  • 1 star
    3,06 %

BS

25 sept. 2020

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

24 sept. 2020

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!

À partir de la leçon

Neural Networks for Sentiment Analysis

Learn about neural networks for deep learning, then build a sophisticated tweet classifier that places tweets into positive or negative sentiment categories, using a deep neural network.

Enseigné par

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    Younes Bensouda Mourri

    Instructor

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    Łukasz Kaiser

    Instructor

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    Eddy Shyu

    Curriculum Architect

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