Sep 20, 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
Jun 02, 2019
one of the best courses I have attended. clear explanation, clear examples, amazing quizzes & Programming Assignment this course is advanced level, don't enroll it if you are a new starter.
By Jay U•
Jun 26, 2018
+ Instructors go into considerable theoretical depth and are very knowledgeable. + Great assignments, but can be pretty challenging+ You will learning a lot by taking this course.-Some instructors are much better than others- Instructors rely too much on slide reading. Lectures lack interactivity other than an occasional pop question.- Discussion groups are not active. Many posts go unanswered
By Rainer-Anton E•
Jan 15, 2018
I really love the machine learning courses from National Research University Higher School of Economics. Thank you!
By Eric V•
May 26, 2018
Great course with challenging assignments.
By Zewei W•
Feb 01, 2018
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.
By Zhen Y•
Jan 31, 2018
I found the first assignment (Week2) very difficult if you didn't have enough experience in Tensorflow to start with. Later on, the assignments became more enjoyable.
The course is more advanced than Machine Learning and DeepLearning.AI. Lots of concepts are gone through very quickly. It is not ideal if you are new to the subject. However, it covers great details in a short course.
By Abhishek S•
Jan 10, 2018
Some concepts should have been explained in more detail using more (or better) examples.
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 Evgeny K•
Jun 23, 2018
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.
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 Andrei V•
Jun 08, 2018
Nice intro to DL. Final assignement is quite hard to accomplish, as you don't know the goal - loss should not too small, not too big (but are the boundaries?). For me it was ok, as I'm running on GPUs, but it should be painfull path for CPU folks.
By Ting Y•
Apr 13, 2018
Comprehensive intro of deep learning
By Jun K•
May 02, 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 Driaan J•
Apr 29, 2019
The content of the course is really excellent, and the lecturers' knowledge is just superb.
The only drawback of the course is that the lecturers' native language is not English, and accordingly it is sometimes difficult to understand them. But there are subtext to the lectures in English that one can refer to.
By Andrea C•
Mar 30, 2019
Very good content and top notch exercises. But sometimes the lectures are not fully comprehensible without a lot of additional reading from other sources.
By SABYASACHI B•
May 25, 2019
some lectures can be given at a slower pace
By J.Om 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 Jesper H L•
Jul 24, 2019
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.
By Pablo M P•
Jul 28, 2019
It is very good although there are some problems to run some assignments due to be too heavy computationally.
By Margarita C•
Jul 29, 2019
My impression of the course is controversial, like it itself is: an introduction to advanced DL. Tough and frustrating for the first experience in DL. The course was useful, but, as everyone notes, in the end you learn from materials you find in the Internet to complete the tasks.
By Tiandong W•
Sep 12, 2019
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.
By Ramin A•
Jan 21, 2019
Overall I enjoyed the course, but it lacks structure. Some materials are assumed to be well known by the learner and surprisingly some easier ones are not. I like to see the math, but it needs more materials to support it. Most instructor's have very heavy accent and tend to speak too quickly, I find myself rewinding multiple times just to figure out what was being said. Homework's are not too difficult, and are enjoyable. Except for the last one where you need to wait for a peer review. I think this can be a flagship course with more efforts.
Jul 30, 2018
By Zhaoqing X•
Jul 20, 2018
Well, I think it's a good course for introducing us to Deep Learning and it has better(tougher) assignments than Andrew's. It also covers more knowledge than Andrew's. But the quality of the course is not that good. The Russian accent is not important because my native language is not English as well, but the assignments are frustrating. The mentors cannot answer the questions that widely appears in the course.
By Carlos V•
Oct 07, 2018
The Course is good, probably should be called introduction to advance deep learning, the complexity of the assignments make you put lots of efforts around them, that is rewarding at the end, make sure you have plenty of time to dedicate to this Course, one thing the Course could improve on is to try to minimize the switch between libraries and the low-level coding with high-level coding between TF and Keras sometimes it creates confusion.
By Juan C E•
Feb 27, 2018
The quality of some of the video session is not good, especially for RNN's. Very general, badly explained and little practical information for the practical assignments. Yor have to "learn" the material, not just look for additional information, from other sources.
The pratical assignments are note always well designed, and some are full of flaws. After many many hours of dealing with some of them, you get the impression that you've passed the assignment but not learned much.