A glimpse of other Computer Vision tasks

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Получаемые навыки

Recurrent Neural Network, Tensorflow, Convolutional Neural Network, Deep Learning

Рецензии

4.6 (оценок: 1,177)
  • 5 stars
    877 ratings
  • 4 stars
    207 ratings
  • 3 stars
    50 ratings
  • 2 stars
    19 ratings
  • 1 star
    24 ratings
YA

Sep 25, 2019

Great course. Even though I've done Andrew Ng's ML course twice and completed his Deep Learning Specialization, I learned a lot of new things in this Intro Course of AML specialization.

AC

Oct 26, 2019

It is quite a rare case, but the course is quite challenging, in a good way. I would definitely not recommend you to start machine learning with it, but it is a good course to advance

Из урока
Deep Learning for images
In this week you will learn about building blocks of deep learning for image input. You will learn how to build Convolutional Neural Network (CNN) architectures with these blocks and how to quickly solve a new task using so-called pre-trained models.

Преподаватели

  • Evgeny Sokolov

    Evgeny Sokolov

    Senior Lecturer
  • Andrei Zimovnov

    Andrei Zimovnov

    Senior Lecturer
  • Alexander Panin

    Alexander Panin

    Lecturer
  • Ekaterina Lobacheva

    Ekaterina Lobacheva

    Senior Lecturer
  • Nikita Kazeev

    Nikita Kazeev

    Researcher

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