For an enthusiast, who never (formally) learned any programming, and never learned any calculus or linear algebra, this course, however challenging, is the right way to kick off into the field of machine learning.

Highly recommend it

Excellent course, perfect balance between theory and practice. The difficulty on the assignments were hard enough to make you think and made you learn to subject better, but not so hard so you had to waste time trying to solve them.

Very educational, I learned and gained enough knowledge to start exploring data and images. I hope one day (soon) to break through into Machine learning field and I think this course is one of the key steps that I had to accomplish.

Great course to understand the basics of a Neural Network. I learned how to build a NN from scratch instead of simply using a library without understanding the inner work. The Heroes of Deep Learning interview series are inspiring.

Exceptionally intuitive! Gives hands on practical experience in building Neural Network Models and implementing it as a image recognition tool. Highly recommend to developers who would like to build their concepts in Deep Learning

Great course. One challenge with these this type of course is that the programming assignments are rather fill-in-the-blank, so it doesn't force you to develop your skills as much as if you were implementing something from scratch.

The is really good.Without a perfect knowledge of any calculus i understood the concepts

.Programming assignments are fun, they focus on algorithms and all the other is removed.Coursera notebook eliminated the need of good hardware

This course was really awesome and I learned a lot of things from Dr. Andrew Ng.

I am very eager to learn and continue the Deep Learning course and I thank everyone, especially Dr. Andrew Neg, who worked hard to create this course.

Earlier I heard the Deep Learning (AI) is very difficult but now i don't think so. It became easier after the Prof. Andrew Ng taught. Assignments and quizzes are designed well on coursera. Proud to be a student of Prof. Andrew Ng.

Easy to follow, content is logic, the instructions are easy to understand, this course totally include the basic concept of deep learning, it's absolutely useful for someone who wants to try exploding this field. I love this course

Thank You Andrew Sir for the wonderful explanations and a little bit of derivations of the equations we used. The coarse was really helpful giving you a better insight of what NN and DL is. especially for newbies like me. Thank You

It was a great experience learning this course. My only feedback: there is should be a MATLAB option for the assignments. MATLAB can do everything in this case as Python and in several cases more intuitive for matrix manipulation

Awesome course that teaches the core concepts of Neural networks, math behind them and helps us to build neural networks on our own. This gives me a lot of confidence on building my own neural network to work on a specific problem.

Andrew Ng is a world leading AI researcher and engineer, he also has superb teaching skills. The course is so rigorous and practical, it is probably the best out there including the best universities and top technology companies...

Great course, with the corrections even better than befor. Only some Variable lanes are strange. And even if i know that L for layer would be a good choice, so is it impossible to see the difference between l and 1 in the notebook.

I don't think there is any need to say how amazing this course is!! It is definitely worth your time if you are interested in deep learning and just starting to learn. No wonder this is one of the most popular courses in Coursera!!

Incredibly clear for those who really want to understand exactly how neural networks really work. Anyone working with deep learning should take this so you have a much better intuition for what deep learning actually is in reality.

I found it very interesting and fitting for the current times. Would have like not to get so many hints and let the people think more by themselves. But it does give you some "intuition" about how NNs work. Many Thanks to the team!

Besides one glitch in one of work 4 (Step by step ) homework everything else was great. The problem was my correct solution was calculated 0/10 on Linear L back model. The error was "error in submission" I tried three times though.

Another incredible and very well detailed and easy to understand course by Prof. Andrew NG. Every detail in these course is needed by those that want to seriously consider a career in deep learning. It can not be better explained.

After fiddling around with deep neural nets, I was looking for a more formal introduction to deep nets and how do they work under the hood. This course did justice to the topic and was exactly what I was looking for. Great Content.

This course mage machine learning and neural networks very accessible to me, even though I only have a beginner background in computer science/python. The programming assignments are very guided, which is good if you're a beginner.

This course is an extension of another course named"Machine learning".

It's suitable for students who have no idea about how to start learning AI.

I am grateful to those who contribute to academic output and to disseminate knowledge.

Excellent step by step introduction to this seemingly very complicated subject of deep learning as it appears to a novice. Thanks so much Andrew for creating this course. Looking forward to some other courses in this specialization

Learnt a great deal about implementing a deep learning application, the assignments and programming assignments were designed with so much care so that anyone with or limited programming background could get it done. Great effort!