MK
Mar 13, 2024
Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects
JY
Oct 29, 2018
The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.
By Mohamed H
•Aug 11, 2022
This is an excellent course. The lecturers are clear and informative. The programming projects are well designed to teach learners basic concepts without drowning in too much details. Thanks for the great work.
By Mehregan K
•Dec 14, 2019
This is just the beginning. you will have a flashlight, a rope, and some other necessary stuff. you might need to build necessary stuff and keep hiking. Enjoy learning basics of hiking from best hiker (prof NG)
By Adam P
•May 22, 2020
Everything from the basic concepts such as GRUs and LSTMs to audio and language applications explained perfectly and simply in such a way that even a high school student like me could understand it. Thank you!
By Amine D
•Apr 2, 2020
This is is a very good cutting edge course. I would like to have less ' help' in the programming assignments or replicate the CNN course by implementing research paper algorithms. ALL in ALL great great course
By Govind S
•Jun 26, 2020
This series is a gem. Although, I have build some Deep Learning Models, this course provided me an in-depth knowledge of 'What, How and Why'. It enhanced my theoretical underpinnings of learning astoundingly.
By Abdelkader B
•Jun 3, 2020
this course is an excellent introduction in Sequence models and RNN, it helped me a lot as all the course in the specialisation.
thank you Andrew and all the stuff that contribute to the success of this course
By Srividhya S
•May 27, 2022
I loved the graded coding exercises. Took forever for a noob like me to understand few points, but I eventually did. And it made all the difference. Thank you for creating such a well drafted course ! Cheers
By Khoong L E
•Oct 4, 2020
After several months of completing this specialization, I will still come back to refresh and further strengthen my understanding via Andrew's excellent explanation on the topics. Thanks Andrew and his team!
By Zhanlue Z
•Apr 18, 2018
The programming assignments are well designed and very practical. Finishing them is the best way to learn the techniques. This is the best class and recommend it to anyone who wants to learn sequence models.
By Jaume
•Oct 15, 2022
Hard sometimes for someone how is not familiar with Python to understand how an object is the class is called. I would be nice if there were some examples, what it means and how it works to call an object.
By 曹杰
•Apr 25, 2020
Great course. Although it is a little hard to grasp what RNN is doing from the beginning. It would be helpful if there's a simple demonstration what each step of RNN is doing at the beginning of the course.
By Yi X C
•Dec 1, 2018
Amazing course. Amazing explanation of how Sequence Models work in a very intuitive and practical way. Amazing code examples - learnt a lot. Oh just one note though -- Durian is from Malaysia not Singapore!
By Davide C
•Apr 3, 2018
I have to admit that this, together with the 4th course, was the most difficult one. However, I definitely learnt a lot from this course. Thank you very much to Prof. Andrew Ng and his assistant professors.
By Eyad E
•Feb 22, 2018
Excellent course, just like all other courses of this specialisation. I highly recommend the whole specialisation for any one serious about DL. Thanks Prof Ng and thanks for his team for such great efforts.
By Thomás I
•Feb 25, 2023
I certainly feel I learned a lot from these courses, and have already applied quite a bit of what I have learned in my job. Thank you for offering this specialization, and thank you to all the instructors!
By YeLwinOo
•Sep 26, 2020
I have just finished the whole Deep Learning Specialization. Andrew Ng is an awesome teacher. He is one of my heros, too. For AI enthusiasts like me, this specialization is one of the best choice to learn.
By Elias A
•Jul 3, 2020
I seriously didn't want this to end. Completing this specialization has been a joy from the beginning. Prof. Ng is absolutely brilliant and one of the best educators I have had the pleasure to study under.
By Ivo C
•Jul 24, 2019
Excellent course, providing a broad range of theory and exercises to apply newly learned knowledge. It was time very well spent getting started in Deep Learning. A next more advanced course would be great!
By Victoire T
•Sep 3, 2021
All great, very explicit and detailed. I just hope we can add more application exercices to the last week content so that we know better how to use Transformer Network. Thanks Andrew and all team members!
By David M
•Aug 4, 2021
All specialization is the greatest starting point in Deep Learning in the world
I switched from software engineering to deep learning (my current working place)
Starting GANs specialization
Thank you so much
By Krzysztof N
•Mar 28, 2020
I really enjoyed the course but not only me. My kids had lots of fun with trying the emojifier exercise. Thanks a lot for all 5 courses, which I found just perfect way to quickly get some taste of the AI.
By Michael F
•Nov 15, 2018
The materials in this course were fantastic, and the problems were extremely interesting. There are still some typos and glitches in the programming assignments, but I'm sure these will disappear in time.
By pooya
•Aug 7, 2022
these courses were so useful for me. but it has one problem. which is preprocessing. in all of the assignments, all of the data were ready to use. we have not learned to much about preprocessing on data.
By Frantisek H
•Sep 4, 2020
Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.
By Chad B
•Mar 10, 2018
Course content was great. Excellent content and pretty up-to-date material. The programming exercises had very cool examples, but sometimes it was unclear how to construct code (lots of web searching).