Conclusion and thank you

Loading...
Eye
deeplearning.ai
4.8(16,011개의 평가) | 140K명의 학생이 등록함
심층 학습 전문 분야에서 5의 강좌 1
강의 계획서 보기

배우게 될 기술

Recurrent Neural Network, Artificial Neural Network, Deep Learning, Long Short-Term Memory (ISTM)

검토

4.8(16,011개의 평가)
  • 5 stars
    13,457 ratings
  • 4 stars
    2,054 ratings
  • 3 stars
    387 ratings
  • 2 stars
    75 ratings
  • 1 star
    38 ratings
JR

May 26, 2019

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

NM

Feb 21, 2018

Hope can elaborate the backpropagation of RNN much more. BP through time is a bit tricky though we do not need to think about it during implementation using most of existing deep learning frameworks.

수업에서
Sequence models & Attention mechanism

강사:

  • Andrew Ng

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
  • Head Teaching Assistant - Kian Katanforoosh

    Head Teaching Assistant - Kian Katanforoosh

    Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
  • Teaching Assistant - Younes Bensouda Mourri

    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.