Networks in Networks and 1x1 Convolutions

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Destrezas que aprenderás

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

Revisiones

4.9 (26,996 calificaciones)
  • 5 stars
    23,709 ratings
  • 4 stars
    2,766 ratings
  • 3 stars
    392 ratings
  • 2 stars
    86 ratings
  • 1 star
    43 ratings
RS

Dec 12, 2019

Great Course Overall\n\nOne thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

EB

Nov 03, 2017

Wonderful course. Covers a wide array of immediately appealing subjects: from object detection to face recognition to neural style transfer, intuitively motivate relevant models like YOLO and ResNet.

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

Impartido por:

  • 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

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