NL
3 oct. 2020
This course helps me to understand the basic concept of Deep Learning. However I think this course should include at least 1 week (or 2-3 videos) about math so learners can have a better understanding
AK
13 mai 2020
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 .
par Mihai C
•15 juil. 2019
Very well structured, the code is much better than in the Machine Learning course that was initially posted on Coursera, and the use of Python instead of Matlab makes things much easier and friendly for everyone. I really enjoyed it.
par Amit s
•11 juil. 2021
I have learned a lot of thing in deep learning such as neural network , deep neural network , forward propagation , backward propagation , broadcasting and vectorization.This is very important for me.
par Sachin K
•7 juil. 2021
Very informative course by Andrew Ng and team.Teaches everything from the basics and helps you understand difficult topics (as i thought before taking this course) such as Deep Neural Networks easily.
par SIDDHESH M
•14 juin 2021
Andrew Ng is one of the best teachers out there to learn NNs and DL. His deep insight into the math of the subject gives us motivation to learn more, amazing course to learn the basics of the subject.
par as d
•5 déc. 2020
This course helped me understand the basics of neural network. After this course I learned to built base neural network model. Looking forward to do the next course of the deeplearning specialization.
par Andy W
•8 juin 2020
Good for those who just want an experience with the fundamental processes of NN. I would recommend spending more time reviewing if you are not trying to do an applied version of Neural Networks.
par Roby A
•14 déc. 2021
This course is fundamental to your Neural Networks and Deep Learning understanding. I highly recommend this course as your first step for your journey to become Machine Learning Engineer
par Anjan D
•1 oct. 2017
Excellent course with great assignments. I have learnt from the beginner level in DL. It also helps one to brush up the calculus and linear algebra knowledge very much.
par Kieran S
•22 oct. 2017
Extremely well structured course that gives you good intuition about how deep learning works by starting with simply examples and adding layers of complexity.
par James G
•9 janv. 2019
Great content and pace was more than manageable.
(Unrelated but worth mentioning is that I have found Coursera the platform to be incredibly buggy)
par Rajavel K
•24 sept. 2020
Andrew Ng has the best explanation for neural nets, when compared to so many online resources I have saw upto this time.
par Gurudutt N
•29 nov. 2019
Such a complex subject made look like so simple. Every concept is covered in detail. Thank you Andrew Ng.
par Benito C
•2 sept. 2017
Very hard work in designing the notebooks so the pupils's learning processing is maximized.
par Michelle
•20 déc. 2019
very clearly explained and can't find anything better, loved the intuition part the most.
par Aman K S
•10 juil. 2019
The most comprehensive and illustrative Machine learning course I could get through.
par Vaibhav K
•15 juil. 2021
This course is amazing and you don't need any prerequisite for this course 😇
par Suddhaswatta M
•26 avr. 2019
Converting Mathematical equation to Python code are very well explained !!!
par Lakshya k
•20 déc. 2019
Lovely course and it will surely boost my career. Everyone should do this.
par Md. S R
•20 déc. 2019
An excellent course to start your journey on A.I. and Deep Learning.
par Wasim Z
•8 juin 2020
Thank you so nice of you Andrew Ng, you are one of my best teachers
par Anastasiya L
•28 janv. 2019
Easy to follow class, breaks everything down to small simple steps.
par Suciu V t
•9 mars 2021
If you are a beginner this is the best course you can find
par kunyuwang
•23 oct. 2020
nice course from the base of the deeplearning
par Chinmay H
•20 déc. 2019
Andrew Ng is an awesome instructor!
par 王玥
•15 août 2019
对我很有用,虽然有些还不是很懂,但是我会经常复习巩固,直到完全理解。