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 Satyam N
•Nov 14, 2018
Doesn't hide the math behind concepts. Provides a very detailed explanation of topics covered. Assignments are fun to do.
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.