JY
29. Okt. 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.
AM
30. Juni 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.
von Uyen H
•16. März 2018
The course is well-structured, and a nice introduction to sequence-related neural networks. The programming assignments cover interesting applications.
von Suresh K M
•20. März 2020
Fantastic! After this course, i can clearly understand how the basic RNN works. All the programming exercises are very very useful! Thank you so much!
von Kseniia P
•30. Juni 2019
Probably the hardest course of the deeplearning.ai specialization, but made easier with thorough explanations of basic sequence models' architectures.
von Gökhan
•19. Feb. 2018
This is an awesome course like other courses in this specialization. You can easily understand concepts and apply them thanks to Andrew and his team.
von Sergei B
•25. Feb. 2021
Great course. The way Andrew explains the material makes it very understandable. Labs are very neat - especially the comments and markdwon portions.
von Mcvean S
•20. Nov. 2020
Always a pleasure to learn from sir Andrew, and this is one of the best courses that teach Natural Language Processing and Sequence Models in depth!
von Vivek M
•11. Apr. 2020
Sir Andrew teaches in a very friendly way, also the programming assignment is great to check your understanding of the concepts. Highly recommended.
von Rooholla K
•20. Feb. 2020
Thank you Andrew for being such a good and kind person. You've been a shelter and a kind teacher for all of us. Thank you, Thank you and, Thank you.
von Emmanuel A
•9. Feb. 2019
Great course on how RNNs work and how they are used to solve real problems (speech recognition, translation, names generation, music generation...).
von Ramesh N
•19. Jan. 2019
Systematic, step by step approach to understanding sequence models and practical exercises to see them implemented with lots of guidance.
Thanks you!
von Shantanu B
•18. Dez. 2018
The toughest course in the deep learning specialization for me. Learnt a lot. Made me ready for further readings and consolidation of the materials.
von Jun W
•6. Nov. 2018
Concepts are covered very well. They are not very easy to grasp. But Professor Ng makes it easy. Hopefully, I will practice some of the knowledge.
von David G
•8. Feb. 2018
Thank you Andrew for sharing all these great and latest staff in the AI Deep Learning field. Fantastic course. Will recommend it to all my IT staff.
von Robert H
•31. Aug. 2022
Quizzes contain imprecise language, making it difficult to interpret what many of the questions are asking and what the answer choices are saying.
von Mohit s
•14. Aug. 2020
the hole module properly designed and the lecture was very interesting and helpful also
coding assignments were really challenging but very useful.
von Fuat O
•10. Juli 2019
This course have been very useful to learn fundamentals of sequence models. I'm really very happy to apply this course and being able to finish it.
von Aishwarya R
•7. Mai 2019
Excellent course. RNN is a complicated topic which has been taught so easily. Thank you Professor Andrew Ng. Loved every programming exercises too.
von Alberto G
•29. Sep. 2018
Very good quality course taught by Professor Andrew Ng. You will learn the basics to master Deep Learning Sequence Models using Keras / TensorFlow.
von Du L
•3. März 2018
Excellent course! I learned a lot. The assignment are not as well prepared as previous courses. Probably they'll be better as students raise errors
von Mihajlo
•20. Feb. 2018
As a novice in seq-2-seq models, I learned so much! This is a great source of state-of-the art knowledge. I only wish it was at least 4 weeks long.
von WAI F C
•17. Feb. 2018
Professor Ng's lectures provided intuitive ways to understand the complex recurrent neural networks and how to apply it in real world applications.
von SHIVAM K
•14. Feb. 2021
I learned various applications of the sequence models. I hope, I will be able to solve various problems by applying the techniques I have learned.
von Armaan B
•11. Sep. 2019
Andrew Ng does not hold anything back while discussing sequence models, including attention mechanisms and how to process and generate audio data.
von wadigzon D
•24. Feb. 2019
excellent, I did some speech recognition & neural nets in the past, I am surprised at how much the field has evolved, this was a great refreshener
von Yashwanth R V
•20. Feb. 2018
The specialisation and this course have truly helped me gain a profound knowledge in theory as well as in programming of the Deep Learning models.