WK
Mar 13, 2018
I was really happy because I could learn deep learning from Andrew Ng.
The lectures were fantastic and amazing.
I was able to catch really important concepts of sequence models.
Thanks a lot!
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
By Aleksa G
•Jan 20, 2019
I really liked this last course as I did not have much experience with NLP and with audio in general, as I did have with computer vision and image processing. The keyword detection model is really cool! After this specialization I am starting to build my own ML projects!
By Raivis J
•Mar 18, 2019
This is the hardest course in the specialisation, and may take some extra effort. For practical assignments I recommend getting familiar with Keras syntax and workflow, as here there is little hand-holding here,. the focus is on actual model architecture and algorithms.
By Zein S
•Feb 15, 2018
This is not a good course, and even not a good tutor.. It is a great course and Andrew is really incredible tutor... I like this course so much and got tons of benefits...
I am so happy to take this course..
PS: You can add this review to the sentiment analysis data set
By Guilherme
•Jun 10, 2018
I really enjoyed the models presented in the course, as well as the accompanying exercises; I think Andrew and the team did a good job at giving intuition about the problems and coupling that with enough hands exercises to give better understanding of the implemtations
By Juan V
•Jun 30, 2018
Greatly explained. A lot of things explained in detail in just no that-much videos. Totally worth-it the specialisation!! Went from zero knowledge to know a lot of things about how it really works. Learned python (including keras and tensorflow) along the way as well.
By David W
•Feb 18, 2018
Thanks for an enlightening course about sequences and how to apply machine learning concepts. This course has brought new light to how to solve some difficult sequencing tasks in my day to day work and I plan on looking for future courses from Andrew Ng in the future!
By Pooja K P
•Jul 11, 2022
Thank you for this amazing, indepth, structured course that has explained and ensured the understanding with resourceful vedios by Andrew Ng Sir, and quizzes that check our understanding and organized assignments. Thank you for the team for this wonderful course.
By Adão T
•Aug 30, 2020
The course is well structured! Dr Andrew Ng teaches very well all the concepts in the videos and also references to the papers. Along with the programming exercises, we can put in practise all the concepts from the videos. The exercises are also very well documented.
By - A U S
•Jun 11, 2020
This was by far the most challenging and most interesting course of all the courses in the specialization. Really gives your brains a hard time, but after you see/hear (haha) the results, it seems that all that was worth the effort!!! THANKS ANDREW, for everything!!!
By Michal G
•Mar 25, 2018
Very good course as all run by Andrew Ng :)
Even though I passed all the assignments I will go through the whole course again to make sure I understand everything very well.
On the other side it would be nice to get some reference to public data to train more on my own
By G R S
•May 15, 2020
It's been a great journey. Thank you all for providing such an insightful and thorough course. The use of real-world applications to demonstrate deep learning algorithms was truly astounding. Once again, thank you, for imparting your precious knowledge to the world.
By Raffaele T
•Mar 9, 2018
It's a course about a lot of things: speech recognition, music generation, image captioning, machine translation, ecc.
It's highly recommended to study previous courses to fully understand the concepts.
There are some errors in the exercises because it's a new course.
By Alejandro D G
•Oct 12, 2020
Very good course: the lectures are clear and motivating, the applied exercises help to improve the understanding of the topics and its implementations, and is very nice that for each topic the teacher incentivizes to read the papers from which this ideas came from.
By Arkoprova M
•Aug 24, 2020
This course gives a very good introduction to exciting applications of Deep Learning,that too in a very short time span. It is worth the time and effort to learn a complex thing in such a lucid manner. The instructions in the programming assignment has helped a lot
By Rohan K
•Mar 27, 2018
Pellucid, succinct, and the final bomb of this specialization! Felt a little dazed sometimes during the course and some things didn't really make some sense, but after things do settle after a re-watch. This course is so good it is actually re-watch recommended. :P
By James L
•Jul 23, 2021
Extremely helpful for those who are interested in NLP, rich content and easy-to-understand illustration on complication models and methologies. Would recommend to add more content introducing popular pre-trained model such as BERT and GPT 3 and their applications
By Yosef E
•Sep 30, 2022
If anyone wants to have a career in Machine Learing or have a deeper understanding of how lots of ml algorithms work, i strongly recommend this course must come before any other learning resources. It lays a good foundation to progress confortable in the ML field
By Jonathan E
•Jun 26, 2019
As usual, an amazing course by Professor Andrew Ng. The course manages to convey the most important elements of such a critical field, teaching from papers which were published only a couple of years ago. For anyone who wants to work in AI/ML, this is a must-do.
By TÃn N
•Aug 21, 2019
This course helps me understand more about RNN and its variations, especially I learnt about the basic of Attention mechanism. What I enjoy the most in this course is its assignments, these are very practical and easy to understand. Thank you for reading these.
By WALEED E
•Mar 20, 2019
This course was quite amazing in understanding with top papers discussed how machine translation and word trigger detection is carried using RNN. Code assignment was the best to show detailed steps of building RNN with a lot of hints to keep you moving forward
By SHENGCHAO Z
•Jun 21, 2018
Great Course! Thanks for Dr. Andrew Ng's and mentors' efforts for making this course excellent! However, as deep learning - AI quickly marches, I think more and more courses from Dr. Ng's group will be expected by all of us! Hope to see your new courses again!
By Sathiraju E
•Sep 17, 2019
In my opinion, this was the toughest course of this entire specialization. It was like a lot of detail squeezed into a few videos. I had to rewatch a lot of times to actually grasp the concepts. But thank you, Andrew and team, for your motivation and efforts.
By Julia H
•May 3, 2021
Gracias a Andrew y a todo el equipo de apoyo!! El curso es muy bueno!
Espero empezar pronto a aplicar estos conocimientos en la solución de problemas de nuestras comunidades y en mejorar las herramientas educativas de la Fundación MINCI con la que trabajo.
By Jasper
•Apr 7, 2020
Good introduction to sequence models. Would be nice that the exercises weren't as guided, since it would be better to implement most things yourself rather than use so many predefined functions. However, I understand the necessary trade-off in terms of time.
By Shaelander C
•Apr 11, 2020
One of the best Professors I ever came across. This Course is Precise and Clear. I am writing this today and will view is again when I achieve success in my life " This Specialization is the stepping stone towards my future "
Thank you, Professor Andrew Ng,