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

This is an amazing course, though I would not recommend it to people who are new to machine learning. If you are familiar with the basics, this course is a great intro to more advanced topics, which are explained in easy to understand terms. The assignments are not easy and a lot of work is required, but it is well worth it.

I like the course, it gives nice overview of neural nets, frameworks and general implementation approaches. It's a bit time consuming if you're using commodity laptop to train models, but very realistic at the same time. There were a couple of issues with programming assignments, but I'm still giving the course solid 5.

Sometimes it's hard to follow, since it is more advanced machine learning than introduction, but that's not bad. It gives a general vision of how machine learning solves different problems. Assigments are truly demanding but, again, that's not bad. Resolving them guarantees that you have learned concerned concepts.

Excellent course which introduces the core concepts of deep learning. However, it is not for the absolute beginner. If you have a good understanding of programming in Python and have done some other introductory deep learning courses, you should be able to complete this course without too much trouble.

This course goes deep in some areas of Deep Learning that other courses seem to skip, I like the extensive math explanation. Some of the quiz questions as well as project assignments were not formulated very well but overall I like this course, and I would recommend it to intermediate level student.

A diferencia de otros cursos, este resulta no ser fácil, requiriendo que uno le dedique el tiempo para interiorizar los conceptos y lograr la programación de las tareas. Es recomendable para los que quieren una introducción al deep learning y ya poseen habilidades en la programación en python

It's one of the best courses I take about Deep Learning. Of course there are some issues as there are in all courses, but they are minimal. I got very important insights from this course and instructors know subjects well. Throughout the course I never suspected about it and money I spended.

This course provided a great introduction to deep learning with TensorFlow and Keras. The lecturers did an excellent job explaining concepts and techniques and the programming assignments were perfect for getting started with implementing deep learning models. Thanks for an amazing class!

Excellent course. Covers the material in just enough detail to get you started applying deep learning to your own projects. Jupyter notebooks help tremendously as an entry point for you to learn Tensorflow, Keras, and Numpy. Looking forward to the other courses in the specialization.

Great course. I found it very cost-effective for providing a broad knowledge about DL, as it covers many topics in a relative short time - providing clear and concise explanations, experimenting with a variety of architectures, and how to utilize them for solving different tasks.

I liked the course very much and can recommend it. It had its own flaws (for example first several videos are a bit difficult to listen to without subtitles), but the material is worth it. A good kick start for studying and applying deep learning. Thanks to all course creators!

Excellent course. Well delivered lectures and hands-on programming assignments. My one criticism is that the original programming assignment on auto encoders took an inordinate amount of time and remained unattainable. This has been corrected with the release of a new version.

Very practical course, provides all the necessary means for the deep learning dive. Being trained as a statistician, I used to believe I'm a bit too oldschool to do deep learning, and now look at me using keras and Tensorflow! Almost as embarrassing as your dad trying to skate.

You'll need to spend some time in the forums to get some answers but overall a demanding course where I learned a ton and for which I had to work hard to finish. I recommend taking the easier deeplearning.ai specialization first and then come back here for completion.

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!

Some of the programming assignments could not be done only with the information given in the videos, I suggest giving the students better and complete tools so they can make the programming activities without losing so much time. But in general, a very good course.

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...

Great, great content! The tutors were amazing. The topics covered and the level of details, the coding assist scripts, the tests were all very impressive. Loved the course and would recommend it highly to anyone interested in starting off with ML.

Fantastic course, I really enjoyed it. Well structured, one of the best.

Although, I already have MPP AI and Data Science certificate, this course and hopefully the whole specialization will be in my Top3 list of Deep Learning. Keep going guys!

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 !

Quality Content. A+ Teaching. This makes me really wanna study at HSE. You guys have in-depth understanding of what you are teaching. This was an exceptional journey.

I just hope something like this comes out on TensorFlow 2 or PyTorch.

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.