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 byehero
•Aug 12, 2018
I' so happy that I finished the whole course !
I like the seq model and I think it'll be helpful with my project !
Thanks!
By Krishnendu D
•Jun 9, 2022
This course can be treated as the Bible for every Deep Learning enthusiast. Thank you Andrew Ng sir and the entire team.
By Sourov D
•Jul 30, 2020
Beautiful journey through the world of deep learning. Thanks very much Andrew, kian and yonus. I learnt a lot from you.
By Divyam G
•Jun 2, 2019
This is an absolutely amazing course. Recommend it to everyone out there who wants to explore the field of deep learning
By Pedro B M
•May 30, 2019
This is by far one of the most interesting courses I've ever made. The programming assignments were really mind-blowing.
By Juandiego M
•Jan 5, 2019
Another fantastic class by Andrew Ng! I learned a lot in this class, and in the Deep Learning Specialization in general.
By Fernando E L M
•Nov 12, 2018
Excellent course. The content and theory were heavy but gratifying once completed. I recommend this RNN training course.
By Shameer W
•Aug 19, 2018
The 5th course was a bit too lengthy, 1st week to be specific. I was a bit overwhelmed while completing along with work.
By Keith M
•Mar 13, 2018
I believe it is the hardest concept throughout this course but Andrew explained it clearly and it is easy to understand.
By Andrea L
•Aug 1, 2022
I am thrilled with this course! It is fascinating, it stimulates curiosity and it is truly a guide thank you very much!
By Eli T
•Jul 31, 2022
An excellent course that presents all current sequce models with simple and intuitive explanation.
Just what I needed.
By ARVIND P
•Aug 29, 2020
Best Educational Course I ever had in my whole Life. Thank you Andrew Ng Sir and Coursera Team for this amazing course.
By Sarith D M
•Aug 5, 2020
Thank you Professor Andrew Ng, Head Teaching Assistant Kian Katanforoosh and Teaching Assistant Younes Bensouda Mourri
By ANIKET A G
•Jul 29, 2020
The course content is highly relevant to NLP projects in the real world. I look forward to doing more courses with you.
By Sayed A S
•May 3, 2020
One of the best course available on the internet sequence models. great explanation, healthy and resourceful exercises.
By Abhishek A
•Aug 13, 2019
Excellent Course!! Recommended to those who are bored with their regular job and want to start something new and great!
By Александр З
•Jul 7, 2019
Amazing course. Sequence model are the most powerful part of machine learning. Now it is time to write my own Jarvis :)
By Frederik C
•Apr 29, 2018
According to me this was the most intersting course of the series. I hope to apply certain concepts in bioinformactics.
By Priyanshi J
•Jan 7, 2024
Professor Andrew is an exceptional mentor, I am thankful to him. Hurrey, I completed Deep learning specialization :)
By Daniel T
•Jul 28, 2020
Fascinating! Have learnt so much about ML and NeuralNet that I'm more confident than ever to carry out my own projects
By Sebastian J
•Jul 25, 2020
This course sealed the specialization really well. Awesome instructor, well structured content, excellent assignments.
By emmette
•Jun 3, 2020
Great overview of time-based deep learning models! The exercises were very helpful & the lectures were easy to follow.
By prasanna k
•Apr 2, 2020
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great experince and learned a lot on sequence models and much more deepler inituion on maths for sequence modesl
By Alireza S
•Jan 6, 2020
It has been the most amazing course in this specialization. I really loved the projects and I learned a lot from them.
By Srivathsan A
•Nov 24, 2018
Awesome conclusion to deep learning. The 1 side trigger detection algorithm is good final touch. Thank you Andrew NG..