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

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.

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.

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.

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!

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.

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

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.

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.

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.

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.

Very well organized course materials. Assignments are provided with appropriate support (instructions and test cases). Some quiz questions could be worded more clearly.

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 .

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!

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.

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.

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

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.

Great course. I loved the math focus .. i took another machine learning course but finally I understand the logic behinf the python functions related to neural networks.

I really appreciate the width and the depth of this course, as well as excellent execution! Clearly it was very carefully planned, which made it all the more enjoyable.

A impressive series of courses! Ng's design for the course is perfect. I think every undergraduate students who need the skills of deep learning should take the courses.

I'm very glad for finish this couse! I love this area in computer Science, and I hope to learn more. Thank you so much Andrew Ng, I'm your fan :). Greetings from Mexico.

Excellent course. The labs where a bit too much "paint-by-numbers", this was great for the earlier parts of the course, but week 4 should have used a more demanding lab.

The Course is amazing. I have learned new skill Which will help me in my carrier Inshallah. the Instructor is so nice and really worked for this. I personally thank him.

Gives you a solid theoretical understanding of how a neural network functions. In addition, makes you build your own neural network model from scratch. Fantastic course.