Awesome material. Very easy to follow. Prof. Ng is the best, takes none of your knowledge for granted and goes step by step through everything so you will follow along. A lot of thought was obviously put into structuring the course.

I learned a lot from this course. I can now make a 2-class classifier for mnist dataset with 99.78% accuracy! I hope I'll be able to implement a 10-class classifier for mnist once I get into softmax in later part of specialization :>

Excellent course. Professor Andrew NG goes straight to the point and provides the math intuitions at the same time. This course has a good equilibrium between math foundations of Deep Learning, Python implementation and application.

Excellent Explanation by Andrew Ng sir. But i would like to suggest that respected Coursera Team please focus on Programming portion also in Lecture videos so that it will help to visualize Assignments more. Andrew Ng sir is Legend.

I tried a few more courses to complete, unfortunately I had to leave the middle of those courses. But, In this course, Andrew explains everything simply, and there more visualization then speech which helps me to understand clearly.

Although I feel it is not necessary to devote that much time to explain the vectorizations, I do understand why it is important for some of the students. The materials are easy to learn and the intuitions are on point. Great course.

This was a tremendous course! Andrew Ng really knows how to do neural networks from scratch. I like this, beucase as a statistician I always want to know the math and the intuitions behind the models. I highly recommend this course.

Se complementa de muy buena manera la parte teórica de los videos con los ejercicios. Se requiere de una buena compresión para resolver las pruebas. Es bastante entretenido y genera ideas muy intuitivas de lo que se está realizando.

Perfecto para iniciarse en el mundo del Deep Learning, las explicaciones son muy claras y no necesitan conocimientos previos de IA ni matemáticas, aunque me ha ayudado refrescar un poco los conceptos básicos de funciones y matrices.

This is the best introduction ever. Teaches you the basics from the very first principles. I would have liked it if he stuck to the common notations used in most research papers and also did an introductory course on linear algebra.

I fulfilled my first step of learning. looking forward to continue the course specialization. I am really lucky to have such an amazing instructors. Thanks a ton to Deeplearning.ai and Course Era for bringing such an amazing Course.

Very interesting and knowledgeable course for beginners in Neural Network and artificial Intelligence. It help me in improving my knowledge in deep learning. The course content is very good and fully explained by video and exercise.

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.