L
Apr 6, 2019
A bit easy (python wise) but maybe that's just a reflection of personal experience / practice. The contest is easy to digest (week to week) and the intuitions are well thought of in their explanation.
XL
Aug 26, 2017
This is a very good course for people who want to get started with neural networks. Andrew did a great job explaining the math behind the scenes. Assignments are well-designed too. Highly recommended.
By Abhishek M
•May 20, 2019
Gave a clear cut explanation about what lies behind the computations of Neural Networks.The sequence of videos will give you clarity about the back-propagation algorithm.
By Ruoqi Z
•Apr 10, 2019
Best course I ever took in Coursera!!!
The lectures are interesting and well prepared and assignments have clear objection and well commented!
Everything is quite clear!
By Sumit S
•Mar 3, 2019
This course clarifies a lot of myths i had about neural networks. It is very intuitively explained, especially the explanation of neural networks via logistic regression.
By Alicia K
•Nov 4, 2018
Excellent course! I highly recommend it! Andrew Ng got me up to date on my linear algebra (the basics), and provided a fantastic and intuitive overview of the technology.
By Taran R
•Sep 15, 2018
everything was really good ,but for me a good explanation of assignment on how it works(just to verify the content) after we finish completing it will make it even better
By Ugur Y
•Aug 29, 2018
I downloaded the videos to my tablet, however when I finished these videos offline, the system showed me I am not finished. It is a big problem, other things was perfect.
By Yan-Jen H
•Aug 20, 2018
Great course, Prof. Ng explains many intuitions, also these exercises are very helpful.
And, I am really enjoy watching these interviews, many useful advices and thoughts.
By chirspolo
•Aug 12, 2018
The cousera is great, which is suitable for the beginner of machine learning.I can't wait to watch all the videos, Hope i can do the great work like the Great forerunner
By Md Z S
•Apr 19, 2018
Quite happy with the maths described in the course. Great Introduction. Looking for more materials to study maths behind the forward propagation and backward propagation.
By Stephen M
•Mar 17, 2018
Andrew NG is always great. The course is structured very well - They're hard enough to be challenging (occasionally making you think for a day) but so hard that you quit.
By Sayan S
•Mar 16, 2018
Great! Prof Andrew Ng was excellent in explaining the mathematical logic. Being new to Python, it took me lot of effort to get even the simple syntax correct sometimes.
By Bhavul G
•Mar 10, 2018
Brilliant way to get started on deep learning and especially understand backprop and gradient descent for deep networks in a very intuitive and natural way. Thanks a lot!
By Yash k
•Jan 28, 2018
This course is fantastic and programming assignments were easy (if you get stuck just look in the forum) even for somebody like me who has no experience coding in python.
By Rob W
•Nov 28, 2017
There is not much (if any) new material or theory beyond the Stanford course, but I found the python implementations much simpler and more useful than the Matlab versions
By Quan T T J
•Nov 19, 2017
This courses is a great course on Deep Learning. You will learn many technique such as vectorization to make data go faster in learning process instead of using for loop.
By srikanth K
•Sep 16, 2017
This course is a must for anyone who want to understand and develop a career in neural networks. Back propagation algorithm is explained in very simple and effective way.
By anil m
•Sep 11, 2017
Very good explanations especially for the derivative intuition and chain rules explanations which makes my life easy in understanding back propagation. Thank you so much.
By Chris U
•Sep 7, 2017
Very thorough and easy to understand. Although some of the material seems redundant, it is slightly different and necessary to understand how to implement deep learning.
By PeiDa K
•Aug 24, 2017
Very well organized course materials. Assignments are provided with appropriate support (instructions and test cases). Some quiz questions could be worded more clearly.
By pritam v
•Aug 18, 2017
The Vectorization part is quite unique to this course .. clears a lot of confusion and encourages us to think with that mindset elsewhere even during the implementation .
By Earningstone R S
•Jan 12, 2023
Awesome! before enrolling for this course I presumed I had enough of the subject. However, I have enriched myself with much in-depth and new ways of learning. Thank You!
By MUHAMMAD A N
•Nov 18, 2022
This course covers all the basics for neural networks and how to implement a deep layer network model using python. I learned all the required objectives of this course.
By Alper A
•Aug 2, 2022
Everything about the course was perfect- from the chill flow of the lectures to the quizzes and assignments- and i learned the subject really well thanks to this course.
By PRAJWAL D
•Jun 27, 2022
Class are more intitutive and explained in high manner, easy to understand topics, course quiz is too intitutive for depth understand.
Happy learning with DeepLearning.Al
By Utkarsh P 5 I E E
•Jun 26, 2022
It is undoubtedly one of the best course I have ever come across. The only problem I found is the assignments..i think too much spoonfeeding has been done in the codes.