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Learner Reviews & Feedback for Introduction to Deep Learning by HSE University

1,755 ratings
407 reviews

About the Course

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image. The prerequisites for this course are: 1) Basic knowledge of Python. 2) Basic linear algebra and probability. Please note that this is an advanced course and we assume basic knowledge of machine learning. You should understand: 1) Linear regression: mean squared error, analytical solution. 2) Logistic regression: model, cross-entropy loss, class probability estimation. 3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions. 4) The problem of overfitting. 5) Regularization for linear models. Do you have technical problems? Write to us:

Top reviews

Sep 19, 2019

one of the excellent courses in deep learning. As stated its advanced and enjoyed a lot in solving the assignments. looking forward for more such courses especially in Natural language processing

May 28, 2020

The hardest, yet most satisfying course I've ever taken in deep learning, by the end of the course I was doing stuff that was borderline sci-fi and that was just "introduction" to deep learning

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201 - 225 of 405 Reviews for Introduction to Deep Learning


May 3, 2021

Good course and time to practice

By Andreas B

Jan 10, 2019

great course - I learned a lot!

By Phumlani M

Jul 6, 2020

Enjoyable course. A must take.

By Hera K

Jul 30, 2019

It was an amazing experience..

By Dominik K

Nov 15, 2018

Great course. I learned a lot.

By Pranav R

Nov 21, 2017

Liked it. It is brief and good

By Pavel A

Oct 17, 2020

Zimovnov is best ML lecturer.

By Timothy G

Aug 27, 2019

Very good course and training

By Neeraj k

Jun 28, 2019

best method for understanding

By Yechiel A

Jan 9, 2018

vary professional and advance

By Christhian F

Oct 29, 2019

Very good and challenging!!

By Zein S

Mar 23, 2018

Great course

Спасибо большое

By pankaj s

Jul 28, 2020

very helpful and effective

By Chen Z

Jan 31, 2020

Good course learned a lot!

By Sylvain D

Sep 11, 2019

Very nice and instructive.

By Muberangabo S

May 20, 2020

Hard by totally worth it!

By Ivan S

Nov 11, 2018

Great introduction course

By Ваганов Н

Aug 1, 2019

Interesting and NOT easy


Apr 27, 2019

Learned and liked a lot

By Jay G

Sep 15, 2018

very difficult at times

By Dr S M

May 1, 2020

Good course to learn.

By Abdul R

Oct 8, 2019

Well prepared course!

By Chenglei S

Jul 5, 2018

Assignments are good.

By Noor A K

Jun 26, 2020

i took it by mistake

By Ezequiel A G

Aug 19, 2018

I liked this course!