As a junior deep learning research intern, I feel this course is a good refresher for some dl knowledge and applications. One suggestion I would have is the instructors should have more explanations on the math part (Jacobian matrix etc..). Overall quality is great!

I definitely learnt a lot, this is called Intro to Deep Learning yet it is much more than an Intro.

Assignments are hard but challenge you to think a lot.

The only thing I would improve is if the staff did more maintaining and responded more quickly to the forums.

Overall course content is good and engaging. But I feel a little bit gap while doing assignments. I feel instructions are clear but for better understanding, it would have been better if a sample input and output is present after every function we implement.

Курс немного сыроват. Особенно касается задания для отличников на одной из недель, которое нельзя сабмитить. А так молодцы - курс хороший хоть и с недочетами. СПС авторам.

З.Ы. Некоторым лекторам всё-таки я бы посоветовал поработать над произношением...

The assignments of this course are very challenging but rewarding. It's not very 'INTRO' as stated in the course title as the pacing is super fast (one type of NN per week!). Overall a highly recommended course to anybody who's interested !

I think this is a nice course! however I felt like I cannot do many of the things I did in the course from scratch. Nice topics, well taught. The only bad point is that subtitles in English are terrible, they need to be more accurate.

Good, however in programming assignments could be beneficial to add mathematical equations for computations or maybe add variables input. By doing so, much less confusion with shapes and computational workflow could be achieved.

it's really hard to compare other introduction courses, it's tough course. You need to hard word to complete. It enjoyable course, there are alot to learn and it will teach you some key features of deep learning.

Great course with nice lecturers and intersting practice. Of course I'd like to grasp more theoretical and practical questions from this course (GANs, Prizma, e. t. c.), but everything should have it's own end

A good course for introducing the various concepts of Deep Learning. It neither goes too deep into the models nor taught in a blackbox way. I think it's just a mixed of both ways. The teachers were good. :)

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

It is quite a rare case, but the course is quite challenging, in a good way. I would definitely not recommend you to start machine learning with it, but it is a good course to advance

Fantastic course.In fact, I think it,s not a easy thing to accomplish all the assignments with this course.

I got a lot of gains through this course. Thanks for all the instructors.

This is a very hands on Deep Learning class. Like the design of programming assignments a lot. It's very instructive as well as challenging! Great course. I would recommend it!

Great course! The faculty does an excellent job in explaining some difficult to understand concepts. The discussion forum is very active and the course community is helpful.

Finally a Course that does more than introducing the topic, but helps you in your every practice of deep learning modelling. Awesome! Looking forward to much more to come!

Definitely great course!

(Was more interested in the math than the acutal "doing" of the programming, so I sometimes found the exercises a little enerving... :) )

I learned a lot. I had a tiny typo in the last exercise, which took most of my time. But searching for this mistake was probably the time I learnt the most ;).

This is amazing content. The instructors have a really good sense of humor which you can detect if you are paying attention, this makes the course really fun.

I really liked, that you are able to clone the repositories directly do work locally on the notebooks and therefore providing a much more stable environment!

Challenging and motivating, it is not self sufficient but its ok to see some resources on Internet.Always excited to study this.Thanks to all teachers...!!

This is the best course that I have taken so far about deep learning on Coursera. It contains nice explanations about different types of neural networks.

I really enjoyed this course and how practical it is. It was super exciting to make the a practical application with transfer learning only after 4 weeks

Its much more informative than the title suggests. A good course to take for someone who already knows basics/theoretical knowledge of machine learning.

Quite In depth introduction on Deep learning. But you need to have a solid background on python and machine learning in order to catch up the materials