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.
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 Alex Y
•May 15, 2019
Excellent overview of recurrent neural networks and applications like NLP, speech recognition, and sentiment analysis! The assignments especially were comprehensive and fascinating!
By Abraham K
•May 11, 2019
This course is AWESOME!!! I learned so much and it was put together so well. This course allowed me to write an article on attention and better understand stacked LSTM RNN networks.
By Arvin S
•Mar 10, 2018
I have the best time with you who designed the course and learnt together. When the professor said thank you, I was really moved and, not a words can express my appreciation to you!
By 敦厚的读书人
•Jan 30, 2024
It was a very good course, it demystifies quite some questions I have during deep learning works (eng), and I recommend everyone to dive during personal time. Thank you, Prof. Ng!
By Amit J
•Apr 18, 2020
I got very valuable insights from this course. I have a raspberry Pi in home using which I control a lamp. I am going to activate it with speech based on learning from this course.
By Hari K
•Feb 1, 2020
Thank you so much for the entire deep learning specialization. Thanks for generously sharing so many aspects about various topics, which will be otherwise difficult to come across.
By HEF
•Jun 2, 2019
The most challenging one among all 5 courses of this specialization, but I also got the most fun from the videos and programming exercises. The discussion forums are quite helpful.
By Thejan W
•Apr 4, 2018
A very well organized course. Assignments, lectures, almost everything is extremely organized and rich in content. This gave me a concrete theoretical knowledge on sequence models.
By Beda K
•Apr 28, 2018
Great overview of sequence models. This was the course in the series that was most relevant to my topic of interest, so I was looking forward to it and enjoyed every moment of it.
By Luis d l O
•Mar 26, 2020
Very interesting course for those who do not know sequential models. As for the programming exercises, they are very easy to complete but help understanding how everything works.
By Madhukesh S
•Feb 26, 2018
All the courses are great, but this is the one I was interested in most. It didn't disappoint. The exercises were a bit challenging, but a lot of fun and relevant to the subject.
By GURAJAPU S S
•Jul 30, 2021
After taking the Deep Learning Specialization, I feel like I am a step higher than myself compared to last 4 months. Thanks to my instructor, curriculum developers and Coursera.
By Rishav K
•Jul 10, 2020
Apart from a few frustrations in earlier assignments because of some errors in the Jupyter notebook, which have rectified, the course was a challenging and rewarding experience.
By Praveen A
•Feb 24, 2020
Great introduction to sequence models. While the actual concepts are hard to grasp, programming exercises has given a very good understanding of the application of these models.
By Kevin C
•Dec 25, 2019
I am pleased about the in-depth explanation about RNNs, LSTMs, and GRUs, as well as the Attention mechanism. Those were the topics that I was looking for when taking this class.
By Manfred P
•Nov 11, 2018
Awesome course. Andrew Ng is a very good teacher. I've also done the DL course on Udacity which was very unstructured and hard to follow.
The only thing I was missing were GANs.
By Abigail S
•Apr 4, 2020
Was fun with lessons, some assignments gave issues with necessity of additional care on being aware of the "grader", as some simple mistakes led to no grading, otherwise great!
By Mukund A
•Mar 24, 2019
Incredible! Just Loved it. Loved the entire deep learning specialization by coursera. Programming Assignments in this course were challenging but rewarding. Thank You Coursera.
By Jorge C
•Aug 8, 2018
Great course with a lot of content about sequence models based on Recurrent Neural Networks. Although sometimes the topics are very complex, everything is explained very clear.
By Yanxuan W
•Apr 22, 2018
Andrew is excellent teacher! During last three months, his not only taught me deep learning but brought me peace helping me go through a hard time. I am so appreciate for that.
By Jussi V
•Feb 18, 2018
Simply excellent ending for the deep learning specialisation. This course 5 together with course 4 (CNNs) is really the core and the most important part of the 5-course series.
By 林胜义
•Feb 12, 2018
I learned how to use LSTM or GRU in NLP task. And I have learned many intuitions and skills of Sequence Models and its application in various NLP tasks and speech recognition.
By Nilesh R
•Oct 5, 2023
Excellent course. I started with near zero knowledge and at the end of the course, I am very confident to handle the practical situations to apply the deep learning knowledge.
By Rony
•Jan 4, 2021
one of the best specialization ever!
it has amazing exercises that make hard not to finish them.
kudos to the people behind all the effort in coming up with and writing the Labs
By Sharat S
•Aug 16, 2020
Great course! Especially like how well thought out it is, especially the assignments. They are something you can save and refer back to as long as you're working in the field.