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

4.6
stars
1,718 ratings
400 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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301 - 325 of 398 Reviews for Introduction to Deep Learning

By Jun K

May 1, 2019

Some programming assignments were not instructed enough, so it's very hard to solve them without discussion forums. But this is good course as a whole.

By Смирнов К С

Jan 13, 2021

The course is very good but one of the speaker - Alexander Panin - has very bad english pronunciation. It was too difficult to understand what he told

By Rmn A

Sep 8, 2020

the pronunciation need to be improved.

the course is not self contained, it must orient the participant to external more complete resources.

By Anmol G

Jun 28, 2018

The assignments are great. I wish the explanations could have been as great. Having said that, the explanation of BPTT was awesome.

By Amuj K

May 11, 2020

course content is right .one thing that i like most is programming Assignment . Real world projects seems to be fruitful for me .

By Clément S

Dec 19, 2020

Notebooks are lacking explanations and lecturers do not have a good Ensglish accent. Otherwise, great and challenging content

By Pablo V I

Jun 17, 2018

This course is not a deep learning introduction. The assignments are challenged and well organized, specially, the last one.

By Om S P

Jun 25, 2019

The peer review is slightly problematic since there is no check on whether the grader is doing the grading properly or not

By Федоров И Д

May 6, 2020

All in all, material is quite good. Programming assignments are interesting but way too easy, even the final project.

By flora

Oct 20, 2020

Could you please provide the slides/ppt ? It's necessary for reviewing again and again. Video is not as convenient.

By Nikhil B

Jul 27, 2020

Nice course. leaarned the inner workings of neural networks. Though I felt some lack in teaching actual coding part.

By Alexander K

Dec 13, 2018

Tell more about TensorFlow and Keras. It was hard to finish final project due to lack of the knowledge in that area.

By Saurabh K P

Dec 12, 2017

Lecture delivery can be improved. Content is great but may be important to break the difficult concepts even further

By Deleted A

Jan 15, 2018

I really love the machine learning courses from National Research University Higher School of Economics. Thank you!

By MP

Jul 28, 2019

It is very good although there are some problems to run some assignments due to be too heavy computationally.

By Rafael J F S

Apr 21, 2018

Interesting content but some videos do not explain the topics well enough and some extra study is needed.

By Wenlong W

Oct 27, 2018

This class is great! A few professors are hard to understand but it's still OK. The homework is helpful.

By Tuan L H

Jun 1, 2020

This course is very good, but there are some topics which are very difficult to completely understand

By imran k

Feb 5, 2020

The course was awesome, I have learned lots of new things, clear some doubts, I have enjoyed a lot.

By Giovani M

Apr 18, 2020

c'est terrible que la version du Keras est désactualizé, mais le cours est tellement bien!

By Parikshith S

Jun 2, 2020

Amazing content.But notebooks need to be updated.

Actually requires good python knowledge

By Abhishek S

Jan 9, 2018

Some concepts should have been explained in more detail using more (or better) examples.

By Mark P

Oct 9, 2018

Yep - pretty good course that covers all the basics, and has some nice tips and tricks.

By Vladimir S

Jan 4, 2018

Хороший курс, но есть над чем поработать :)

Спасибо авторам и удачи слушателям!

By ELA S C

Jul 4, 2020

This course was very Challenging and got many insights to learn.