JN
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I know this is intended for a broad audience, but I found that the assignments were too easy. Not that they are testing easy material, but that the answers are almost stated directly in the questions.
AK
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One of the best courses I have taken so far. The instructor has been very clear and precise throughout the course. The homework section is also designed in such a way that it helps the student learn .
By Yashovardhan S
•Mar 23, 2020
This course is wonderful. I am a beginner. I am just a high school student and know very less about machine learning and deep learning but professor explained in a very easy manner. I found it very helpful.
By Sylvain D D T
•Feb 1, 2020
For me this is the more complete and detailed course on deep learning online. I can only recommend it. I really feel that I understand and I'm also able to explain what is going on in a deep neural network.
By Sajjad S
•Oct 30, 2019
this course is my first experience in Coursera, I think this site is amazing and I'm very glad to know about Coursera. also, Andrew ng is the best, I have learned so much from him.
Thank you for all of this
By Jader G
•Jul 26, 2019
Excelente curso. O instrutor conhece muito sobre redes neurais e consegue passar a informação de forma simples e objetiva. Curso bastante recomendado pra quem quer iniciar no mundo da aprendizagem profunda.
By An X
•May 29, 2019
this course makes me clearly understand lots basic concepts in neural networks. however the assignment is a little bit too easy, too much hint given and also should not show the expect value for each steps.
By Oluwafemi O
•Jan 10, 2019
This is a very good course for anyone, irrespective of your background, who is interested in becoming a deep learning expert. Andrew Ng really did a good job here. And by the way I sparingly give reviews...
By Kiran K
•Jan 9, 2019
Excellent course once again!
I am revising my previous knowledge, and this course it build using python which is really a plus point for the enterprise level implementation of these skills.
Thanks once again.
By David W
•Jan 1, 2019
very good course to begin the journey into deep nets, especially details given in backward prop. extra points given to how to structured the deep nets step by step from in a clean state of the art approach.
By Guokai Z
•Oct 20, 2018
I learnt a lot from this course. I have understood the implement details of neural network especially deep learning network more clearly than before when I was learning machine learning course by Andrew Ng.
By Nhuan P M
•Jul 10, 2018
This course help me a lot. It's the great intuition about how deep neural networks work. But, some errors occur such as i can not save my work on notebook. Hope it will help you improve your system. Thanks.
By Sonny R
•Jul 1, 2018
Great class! It took me more that 4 weeks due to my work schedule. If you can push through programming assignments without breaks you will be better off (due to context switch and re-learning the material).
By Buddhiprabha E
•Apr 16, 2018
This is a great course. Everything is very well explained by Andrew. Can be recommended to anyone at any expertise level. A must-do for anyone interested in learning about neural networks and deep learning.
By Sayed H
•Apr 1, 2018
Very nice hands on course. The material presented in a very logical and concise way. This is my first neural networks course and I loved it. Looking forward to see if I can use it to my domain of expertise.
By cagricekin
•Apr 1, 2018
I tried several documents and videos to understand deep learning and neural networks. It is definetely most useful one so far. It is a good idea to take the course if you are interested in machine learning.
By 叶烨星
•Mar 5, 2018
It gives not only a way to learn deep learning knowledge but also a way to practice deep learning skills but the practice may be not enough to master such a sophistic skill. It's good but it can be better.
By Phi N V
•Nov 4, 2017
The course is very good but the programming assignment should be more challenging!i would like to take my assignment something like just given the interfaces and material and i will implement it by my self!
By Warren B
•Sep 9, 2017
Great course! Pretty dense for a first course - I'm taking a break and studying what I just learned. Then I'll go to the second course. This is what you need if you want to do deep learning from scratch.
By Derek J
•Feb 18, 2024
Andrew is great at explaining complex ideas and you can tell thoroughly enjoys what he is doing and teaching. It's been years since I've used Linear Algebra, so I had some refreshing to do, which was fun!
By Peyman S
•Nov 2, 2022
The teaching methods and assignments were excellent. Also they've built a good developing environment. I'm so glad I participated in this course. Specially their tricks and tips for real work was so great.
By Daeung K
•Apr 19, 2021
The most basic but difficult principles are very easy to understand. Through this lecture, I was able to rebuild my knowledge that I had been vaguely aware of. Thank you again for Coursera's financial aid.
By Michalis P
•Feb 6, 2021
Excellent course, great programming assignments. The only difficulty i came across was my unfamiliarity with the python programming language which made the assignments more challenging and rewarding. Great
By YIGITHAN G
•Jan 29, 2021
I think it would have been better to have advanced-beginner notebooks. Notebooks contain too much information for me to test whether I understood or not. I already know calculus, linear algebra and python.
By Ege K
•Dec 9, 2020
A really instructive and enjoyable course. I had a really good time implementing the things I have learned during the lectures. I am definitely going to continue to this specialization as soon as possible.
By Aniruddh M
•Oct 7, 2020
A good course for beginners, willing to learn Deep Learning.
The course builds upon the previous concepts, which is a good thing.
The instructor explains concepts in a lucid manner.
Overall, a top experience!
By Arun S P
•Aug 13, 2020
Great Course! The instructor explains everything so well. Programming Assignments are very structured and are helps us to know how to implement the theoretical concepts discussed in the videos in practice.