Data Augmentation

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Получаемые навыки

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

Рецензии

4.9 (оценок: 24,043)
  • 5 stars
    21,101 ratings
  • 4 stars
    2,471 ratings
  • 3 stars
    352 ratings
  • 2 stars
    76 ratings
  • 1 star
    43 ratings
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.

DM

Apr 22, 2019

This is one of the best courses for CNNs. This gives a very deep understanding of the concepts and helps to understand the brains behind the CNNs and their working in application based environments.

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

Преподаватели

  • 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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