Transformer Network Intuition

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deeplearning.ai
deeplearning.ai

4.8(27,200 个评分)

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310K 名学生已注册

课程 5(共 5 门,深度学习 专项课程

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您将学习的技能

Natural Language Processing, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network, Attention Models

审阅

4.8(27,200 个评分)

  • 5 stars
    83.66%
  • 4 stars
    13.04%
  • 3 stars
    2.54%
  • 2 stars
    0.47%
  • 1 star
    0.27%

JR

May 25, 2019

Filled StarFilled StarFilled StarFilled StarFilled Star

I am so grateful that Andrew and the team provided such good course, I learn so much from this course, I am so excited that see the wake word detection model actually work in the programming exercise

SD

Sep 27, 2018

Filled StarFilled StarFilled StarFilled StarFilled Star

Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.

教学方

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    Andrew Ng

    Instructor

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    Kian Katanforoosh

    Senior Curriculum Developer

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    Younes Bensouda Mourri

    Curriculum developer

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