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Learner Reviews & Feedback for Introduction to Deep Learning by National Research University Higher School of Economics

4.6
stars
1,691 ratings
394 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: coursera@hse.ru...

Top reviews

DK
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

TP
Aug 8, 2020

A very good course and it is truly insightful. This course deals with more on the concepts therefore I have a better understanding of what is really happening when I build deep learning models.

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176 - 200 of 392 Reviews for Introduction to Deep Learning

By Jayesh G

Jul 24, 2019

Nice course....refreshed a lot of concepts

By Daniel M

Apr 30, 2018

Challenging, educational, and tons of fun.

By sanghoon.lee1@kbfg.com

Oct 27, 2020

I like this lecture. thank you so much.

By ashirwad s

Mar 16, 2019

Best Course available on Deep Learning.

By Ankit A

Mar 11, 2019

Very Effective Learning. Thankyou Guys.

By Tejas S S

Nov 11, 2018

Difficult course, but worth the effort.

By Bukharaev A N

Sep 30, 2018

Thank you for such a tremendous course!

By Rodolfo Q

Sep 3, 2018

It has a nice review of advanced topics

By RICHARD H D

Jul 4, 2019

Good explanation and project proposals

By Félix A

Sep 17, 2020

A great way to get into the ML world.

By Maxim B

Jul 17, 2018

I think it's a good start. Thank you.

By RAMATULASI

Jul 3, 2020

Excellent course and very good tutor

By Yunzhe F

Sep 8, 2018

Most of the assignments are unclear.

By Arnav G

Dec 14, 2019

highly satisfied...will do it again

By Марчевский В Д

May 18, 2018

Pretty good intro to Deep Learning!

By ANUJ L

Jun 15, 2020

Was very nice and concise course.

By Walter H L P

Dec 2, 2017

It is very difficult but worth it.

By sagar s

Sep 25, 2018

Awesome!. Worth the bucks spend!.

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