29 de out de 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.
30 de jun de 2019
The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
por Raffaele T•
9 de mar de 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.
por Alejandro D G•
12 de out de 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.
por Arkoprova M•
24 de ago de 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
por Rohan K•
27 de mar de 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
por James L•
23 de jul de 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
por Jonathan E•
26 de jun de 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.
por Tín N•
21 de ago de 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.
por WALEED E•
20 de mar de 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
por SHENGCHAO Z•
21 de jun de 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!
por Sathiraju E•
17 de set de 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.
por Julia H•
3 de mai de 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.
por Jasper v H•
7 de abr de 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.
por Shaelander C•
11 de abr de 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,
por AMRICHE A A E•
16 de mai de 2019
The course is another great addition to the specialization. Very well designed and delivered. A big thank you to the Professor Andrew Ng and his team as well as Coursera. It was a great experience and I am very pleased that I took the entire specialization.
por Manik S•
17 de jun de 2018
A tough one. The notebook was very slow and and unstable.I like the original ML course's way of guiding us more. The suggestions on what should be done on every line make me lazy and I often don't focus hard enough on the intuition and math behind the code.
por Fernando H F•
20 de jan de 2019
Great course! Andrew is great in explaining complex definitions with simple and understandable explanations. The course goes deep in multiple applications of Sequence Model for Time Series Data, and the programming exercises are challenging and rewarding.
por Raghunandan S•
29 de out de 2018
The course detailed, informative and elaborate. The programming exercises are using libraries Tensorflow and Keras. A familiarity of these libraries is very helpful. It would be great if an introduction to the fundamentals was a part of the course itself.
por Quentin M•
1 de ago de 2021
As always Prof Ng explains complicated ideas in a very easy to understand step-by-step breakdown. Really an excellent course with some fascinating application examples you'll want to spent some time playing with yourself long after the course is finished.
por Jay P•
31 de mai de 2020
This was one of the most interesting and well taught courses here. After this course, I was able to understand research papers in this area which were previously quite difficult and alien to me. I was also able to implement the models in them successfully
por Zhi L•
17 de mar de 2020
Learned a lot of new skills and faced really great challenge especially when using different framework, troubleshooting make me feel headache. But learning new framework is also exciting. Still have a long way to go. Thank you so much Andrew and the team!
por Maciej M•
4 de ago de 2019
Brilliant, the best introduction to sequence models I could hope for. Because the material goes through multiple levels of complexity, I revisit it on a regular basis, even after finishing the course, and every time I am able to gain additional knowledge.
por Brian L•
25 de nov de 2018
This was an awesome sequence. I wanted to understand Deep Learning and the techniques and ideas that had advanced the state of the art beyond ordinary neural nets. I was particularly interested in Sequence Models which are of interest in my line of work.
por Andres G•
1 de mar de 2020
Great course! It teaches the necessary to implement deep neural networks problems and give you practical advice. You can go deeper as you want in the material of this course, the programming assignments can be extended by going into the optional content.
por Gil E B•
15 de ago de 2019
So much gray area about sequence model was covered here! Broad topics covered with practical exercises make this course a must-have when dealing with sequence-related problems in deeplearning.
Thank you Andrew Ng and to the team for this wonderful course!
por Trình P K•
10 de out de 2021
Thanks to DeepLearning.AI, I now have good grasp of Sequence Models and their techniques. I really hope that DeepLearning.AI team will create more amazing and helpful courses like this in the future. Best wishes to all of the members of DeepLearning.AI!