Strided Convolutions

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Получаемые навыки

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

Рецензии

4.9 (оценок: 37,254)
  • 5 stars
    87.59%
  • 4 stars
    10.52%
  • 3 stars
    1.42%
  • 2 stars
    0.28%
  • 1 star
    0.16%
AG
12 янв. 2019 г.

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

RK
1 сент. 2019 г.

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.

Из урока
Foundations of Convolutional Neural Networks
Learn to implement the foundational layers of CNNs (pooling, convolutions) and to stack them properly in a deep network to solve multi-class image classification problems.

Преподаватели

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    Andrew Ng

    Instructor
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    Kian Katanforoosh

    Curriculum Developer
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    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

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