Triplet Loss

video-placeholder
Loading...
강의 계획표 보기

배우게 될 기술

Deep Learning, Facial Recognition System, Convolutional Neural Network, Tensorflow, Object Detection and Segmentation

검토

4.9개(39,977개 평가)

  • 5 stars
    87.64%
  • 4 stars
    10.45%
  • 3 stars
    1.44%
  • 2 stars
    0.28%
  • 1 star
    0.17%

AR

2020년 7월 11일

Filled StarFilled StarFilled StarFilled StarFilled Star

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

OA

2020년 9월 3일

Filled StarFilled StarFilled StarFilled StarFilled Star

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

수업에서

Special Applications: Face recognition & Neural Style Transfer

Explore how CNNs can be applied to multiple fields, including art generation and face recognition, then implement your own algorithm to generate art and recognize faces!

강사:

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Kian Katanforoosh

    Senior Curriculum Developer

  • Placeholder

    Younes Bensouda Mourri

    Curriculum developer

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.