Training tips and tricks for deep CNNs

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Получаемые навыки

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

Рецензии

4.6 (оценок: 970)
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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.

YG

Jan 28, 2018

This is a very hands on Deep Learning class. Like the design of programming assignments a lot. It's very instructive as well as challenging! Great course. I would recommend it!

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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