really nice course to hone your skills. but sometimes the assignments are really really tough and no hint is provided how to solve them. i was having problem because of my weak python skills. afterall course is relly nice

The course is very good. The last assignment was pretty ambitions with the image captioning but i am glad they did it. Some of the lectures the english is very difficult to follow. Other than that really helpful course.

This is an ADVANCED DL course. If you have already learned Andrew Ng's deeplearning.ai course or other basic course, this course is good for you as a test. But if you don't know DL at all, this is not for you.

This course is incredibly challenging and the assignments can be frustrating with little guidance, and high bar to pass graders. I give it a high rating because it really pushed me to learn and master details

I found the content to be interesting and on a good level of advancement, but I also found the exercises to be buggy sometimes or not well thought, which cost a lot of extra time spent on it.

I didn't like some lectors. However, the course itself was a great start to learn Deep Learning for me. It covered fundamental topics very clearly, so I appreciated this very much.

Great course for recap of crucial things in DL. But, materials seems useless for people, who don't already have an appropriate knowledge about this field of machine learning.

Good introductoral material. Most of assignments are done well, but some of them still a bit raw and to solve them students often change code written by course creators.

A good course. But do not think that you can do this course og you are new to AI. IT tales you to the latest, but you midt know the finest and python before you start.

The content and assignments pertaining to MLP, CNN, auto-encoders are great, but I feel it a bit lacking when it came to RNNs and LSTM with the videos/explanation.

Intensive course with tough exercises. Very educational. Nevertheless, in my opinion, the mandatory nature of peer reviewing is no suitable for online courses.

Very good content and top notch exercises. But sometimes the lectures are not fully comprehensible without a lot of additional reading from other sources.

it is a good course with challengeable PAs and nice teachers, i like it.

Anyway... if there is more ASSERT statements in PAs, students may be much happy.

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.

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

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

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

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

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

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

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

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

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

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

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