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.
por Anupkumar M•
Oct 11, 2018
Too much mathematical
Some of the instructors were tough to follow
por Jeremy C•
Feb 04, 2020
You either need to understand Deep Learning, in which case the explanations are very bad; or you already know Deep Learning a bit; in which case the course doesn't bring anything.
Generally, the instructors are hard to understand, it goes from 0 to 100 in a second.
They also speak with a strong accent which doesn't help the understanding.
If you want to complete the Specialization, maybe follow it and accept to lose your time and money.
Otherwise, skip this and focus on better courses
por Ivan M•
Oct 14, 2019
Frankly speaking, I want to set 3 or 2 stars because of:
1) Many non-documented issues which I have writing code for assignments.
2) Material have been made in many foreign languages, but Russian is forgotten and it dissapointed me (hello from Moscow!)
3) Some task descriptions are not actual.
4) Coursera notebooks version is not equals github version (I checked it in GAN).
But hard to learn easy in battle, right? I learn more when try to pass Numpy NN, GAN, LSTM and etc in spite of material, English (I realise that it is very difficult task to fit a lot of material in 5/10/15 minutes. Alexander Panin tried to do it=)). It was very hard, but I did it. I realised that the authors of the course have many important projects and haven't enough time for the courses. So, I want to wish them success in their job and continue work on this course. I believe that they can do better. That's why I set 5 starts. Good luck!
por Siddhartha D•
Mar 31, 2018
Course contents are good. Assignments are hard but you get to understand the intricacies of the workings of different types of neural networks and its really fun to do. There are few cases where the assignments require a GPU to work efficiently. I think Coursera should sign up with GPU cloud vendors for deep learning courses. Although peer grading process can be really helpful, I absolutely dislike it. In one instance, my assignment was marked as not runnable by one of the peers while other peers have marked it as runnable and had awarded scores for the other sections of the assignment. But, I had to resubmit the assignment in order to get the full score and it took a while for it to get reviewed as not many peers are available. In some cases, one might have to switch the session. Overall, I highly recommend the course as there's quite a lot to learn from it. Thanks.
por Ayush T•
Jul 26, 2018
I think this is the best course on Deep Learning on Coursera. It has flavours of various domains of Deep Learning like CNN, RNN, AutoEncoders and GAN's. The pace of this course is moderate which makes it easy to follow if you know a couple of thing about Deep Learning in advance. Definitely, this course is not for those people who are at a very initial stage or with no knowledge of learning Machine Learning. The assignments which are part of the assignment are really well chosen. This course makes you explore the subject on your own. But still the domain of Deep Learning is huge so there is still a lot to learn.
por Samuel Y•
Jan 15, 2018
Very fast and solid course, requiring in-depth knowledge and hard working. Especially the most criticized program assignment part, some is not well detailed and guided (even broken), but it is also partly realistic to mimic actual machine learning project development. It might also take days to tune and try to beat some required passing-level. Fix it yourself is really helpful to master the essence. Running those notebooks locally or in own server env with GPU support is strongly recommended to avoid wasting hours to find coursera kernel dead during training.
Dec 31, 2019
This was a great course with a lot of hands-on programming time. I liked that the programming assignments didn't have a lot of hand-holding and I ended up learning a decent amount of numpy/tensorflow/keras on my own. It would have been better to have a little more guidance in terms of functional requirements for some of the later assignments which would have saved some unnecessary frustration. But overall it was awesome - looking back on it, I'm amazed at the breadth of material they covered.
por Shervin S•
Aug 16, 2019
Thoughtful course with good examples and code. Instructor presentations and graphics used were very organized and clear. Assignments are fairly simple, in terms of work required, but they require you to understand the context and reading through the code is useful. The forum was fairly useful, too.
Some further comments explaining code blocks and practices would have made this experience complete.
por Niculae I•
Feb 05, 2018
I guess for ML beginners this course is hard, because some of the lectures are pretty succint and you must figure out by yourself what is going on. But that helps too to understand better some issues. And at least for me the estimated time for the assignments was a bit too optimistic. Still I like the course and learned a lot of new things, altough I was not really new to this matter.
por Kelvin L•
Mar 12, 2018
This program is more suitable to those who already have mid level knowledge about the nuts and bots of Deep Learning and looking for hands-on opportunities to advanced skills. Having said that, the projects are really rewarding.
The main problem of this program is that. the teaching is very brief and there's no supporting resource at all, except the discussion forum.
por Dalton H•
May 24, 2019
This course was great. I thought the lectures were good, and the quizzes are good at testing your knowledge, but the bets part of the course comes from the assignments. The assignments were both fun and interesting, and allowed me to try different tasks I would have been too intimidated to try otherwise (such as GANs). I really enjoyed this course.
por Kristiyan D•
Apr 26, 2018
I didn't watch the videos as I wanted to try my current know-how on the assignments directly, but I can only recommend doing them, as they will provide you with great guidelines on implementing and training different types of neural networks. Even for a fairly experienced data scientist, the assignments were compelling enough.
por Eric A S•
May 21, 2018
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.
por Ivan K•
Dec 14, 2017
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.
Aug 07, 2019
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.
por Michael B•
Nov 11, 2018
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.
por Milos M•
Feb 23, 2019
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.
por Tolga K•
Mar 22, 2019
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.
por Bob F•
Mar 09, 2018
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!
por Gary S•
Jun 07, 2019
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.
por Guy G•
Aug 05, 2019
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.
por Egor L•
Aug 10, 2018
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!
por David O•
Jan 26, 2018
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.
por Evgeniy R•
Nov 07, 2017
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.
por Arnaud R•
Jan 21, 2018
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.