Why ResNets Work

Loading...
강의 계획서 보기

배우게 될 기술

Facial Recognition System, Tensorflow, Convolutional Neural Network, Artificial Neural Network

검토

4.9(37,064개의 평가)
  • 5 stars
    87.60%
  • 4 stars
    10.51%
  • 3 stars
    1.42%
  • 2 stars
    0.29%
  • 1 star
    0.16%
RK
2019년 9월 1일

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

JM
2020년 9월 19일

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

수업에서
Deep convolutional models: case studies
Learn about the practical tricks and methods used in deep CNNs straight from the research papers.

강사:

  • Placeholder

    Andrew Ng

    Instructor
  • Placeholder

    Kian Katanforoosh

    Curriculum Developer
  • Placeholder

    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.