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.
AM
Jun 30, 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.
By RB
•Mar 15, 2018
Excellent course to learn about speech recognition and translation! This has been an excellent 5-course journey. Good luck to all!
By Robinson M
•Dec 2, 2023
Excelente curso, explica en forma clara y precisa los modelos de secuencia. El mejor curso que he tomado de modelos secuenciales.
By Parth V
•May 26, 2022
Very well structured course and kind of made me comfortable with DL terminology. Cant wait to start a career as a Data Scientist.
By Piyas C
•Aug 25, 2020
Thank you, Professor Andrew Ng, for this nice and excellent specialization course with wonderful and constructive lecture videos.
By Sreenivas M
•Feb 18, 2020
Most fun and toughest course of the lot. Text data is always more complex, hard to analyse and model in comparison to image data.
By Matthew C
•Jun 19, 2018
While the grader was a bit flaky (which was super frustrating), everything else was, as usual, top notch. Thanks Andrew and crew!
By John M
•May 31, 2018
High quality lectures and interesting, relevant jupyter notebook exercises. This is a great course at a very reasonable tuition.
By Ricardo F
•Feb 17, 2018
Another amazing course developed by Dr. Ng! This series of courses probably is the best deep learning training available on-line.
By shin s
•Feb 16, 2018
This is an amazing course! I am looking forward to more courses/specialization from DeepLearning.AI team in the coming months :)
By madhumita.behera@gmail.com
•Jan 28, 2020
Wonderfully explained and well structured course work. The programming assignments really boost the confidence on subject matter
By Abhishek T
•Jan 5, 2020
I thank Andrew Ng and the team for such wonderful content be in terms of programming assignments or video lessons. Great work!!.
By Tahir M
•Apr 1, 2018
Very-well designed course. Assignments make it easy to practice learned concepts. I enjoyed the course and learnt a lot. Thanks!
By Venkateshwaralu S
•Feb 17, 2018
A well crafted course that introduces even the most meek and uninitiated to the world of sequence models driven deep learning :)
By Claus M
•May 10, 2021
Excellent. It is a very complete course on the subject. It teaches many state of the art algorithms with very explanatory labs.
By Muhammad I
•Jan 14, 2021
Awesome to complete and acquire new dimensions of course to boost skills in the AI paradigm. Thanks to Coursera and Instructors
By Mohamed M K
•May 27, 2020
Many thanks Andrew Ng, your way of teaching things is so motivating and captures attention for sure. you're simply the best !!!
By YanLiu
•May 6, 2020
Very detailed comments and carefully prepared contents. I feel my time spent on the course well worth it and thank you so much!
By Reina S
•Apr 1, 2019
I understood LSTM concepts well thanks to the course. But explanation for equation is quick. I wanted to know the more details.
By Ashutosh P
•Jul 28, 2018
Really good explanation on even the smallest of things, that's what I like about Prof. Andrew, he never leaves a page unturned.
By BaronChen
•Jun 23, 2018
jupyter notebook always can't submit, and can't save . I have spent more than 2 hours to submit a train ~ . But course is well.
By HouJP
•Apr 22, 2018
Always can't submit assignment and there is no instruction about how to submit in json format.
Thanks NG! Great teacher! Thanks!
By Pranay C
•Mar 3, 2018
A must do for those who wish to kick start their career in Deep Learning. The concept of Attention Model with LSTMs is amazing.
By Bahadir O
•Feb 20, 2018
Prof Ng did it again and taught an awesomely complicated topic awesomely well. I'm always sad whenever one of his courses ends.
By Susan M
•May 12, 2023
Excellent - full topic coverage, doable Python, accurate calculations. Could not have understood without all of the hands on.
By Valentina I
•May 1, 2022
Detailed in covered topics. Also interesting topics and the way they are brough in the material really triggered my couriosity