Motivation for recurrent layers

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강의 계획서 보기

배우게 될 기술

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

검토

4.6(1,397개의 평가)
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    73%
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    19%
  • 3 stars
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  • 2 stars
    2%
  • 1 star
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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

수업에서
Deep learning for sequences
In this week you will learn how to use deep learning for sequences such as texts, video, audio, etc. You will learn about several Recurrent Neural Network (RNN) architectures and how to apply them for different tasks with sequential input/output.

강사:

  • 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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