Learning new tasks with pre-trained CNNs

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Получаемые навыки

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

Рецензии

4.6 (оценок: 1,133)
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    842 ratings
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    201 ratings
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    19 ratings
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    22 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.

RK

Mar 01, 2019

Really Great course. I would recommend everyone to take this course but after having some "basic knowledge" of Machine Learning, Deep Learning, CNN, RNN and programming in python.

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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