You really need to have a background in linear algebra and analysis in order to fully enjoy the course. Otherwise, you are just applying formula without thinking.

The course enabled me to understand how neural networks work in a highly practical way. The concepts are explained very well and reinforced throughout the course.

Excellent refresher course for neural network. Suits better to the persons like me who already know some stuffs of Machine Learning. Assignments are easy but big.

This is an excellent course to learn neural networks from basics. Prof Andrew Ng nailed the concepts very well. The programming assignments gives a good practice.

This course is wonderful! But I think the coding assignment is too simple. More content should be assigned to students instead of being completed before we do it.

It was the best online course on machine learning. Loved the way it carries forward the knowledge transfer along with examples and assignments on real-world data.

very basic but high quality course.

this course are suitable for those very beginners.

concepts are explained in a very detailed way.

homework is a little bit easy.

Excellent material. It builds up the knowledge both from theoretical and practical aspect incrementally. Good explanations and very useful programming assignments

Very well structured! Cover a portion of the subject of the previous Machine Learning class, but in much greater details. It was an enjoyable learning experience.

Very good course and very in detail computations of deep and shallow neural network, i really love the work of Andrew Ng and follow him. This is a great addition.

This is a good looking-back course if you have learning the "Machine learning" course (by Andrew Ng) before. Very glad that we can learn it with Python this time!

After many years in other Software domains, this course really helped me to understand basics of Deep Learning and regain my knowledge from Machine Learning era.

a perfect class, I learn so many technologies and let me interest in deep learning , I believe I can become a good engineer of deep learning through study these

Anyone who is fascinated about mathematics and linear Algebra and wants to pursue their carrier in the field of AI, must visit the above course. Great Knowledge.

Ive completed Andrew ng machine learning course prior to this, I think, the programming assignment submission interface was more comfortable than online notebook

Best course for the beginners, the way Andrew Ng explained is excellent and this course gives brief intro of deep learning along with the mathematics behind it..

Great course. Wish it add more tensorflow knowledge to it. Since engineer is unlike to write deep-learning framework from scratch in the real world applications.

Very helpful course. I already had some experience with neural networks and python, but this course helped put things in order, both technically and intuitively.

It was a great journey for me to learn the basics of deep learning. Now I am highly motivated to go upward for getting advanced intuition of deep neural network.

Much better than machine learning course in terms of clarity and implementation of code.Also,python seems better to implement than matlab exercises in ML course.

Course is structured well. And assignments are structured in a smooth way. Any newbie can do this course as each topic is explained well and very well structured

Haven't seen such a precise course. Whenever I thought something was missing Andrew Sir Would explain that thing just next. Perfect course by a perfect mentor!!!

Great teaching flow and nice environment of forum for discussion and learning.

Adding a motivation to end of each week as optional (If I may make them mandatory )

Great mixture of course instruction/videos, assignments, and quizzes. Provided sufficient direction for programming assignments (which is really, really nice!).

Course by Prof.Andrew Ng and the field of neural networks is really intersting.

It seems that mathematical concepts/intuitions are really important on this field.