Week Introduction

video-placeholder
Loading...
강의 계획표 보기

배우게 될 기술

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

검토

4.5개(864개 평가)

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

BS

2020년 9월 25일

Filled StarFilled StarFilled StarFilled StarFilled Star

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

2020년 9월 24일

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!

수업에서

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!

강사:

  • Placeholder

    Younes Bensouda Mourri

    Instructor

  • Placeholder

    Łukasz Kaiser

    Instructor

  • Placeholder

    Eddy Shyu

    Senior Curriculum Developer

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.