Very well structured. Enjoyed doing the assignments. A little less spoon feeding would have made the assignments more interesting for ex refer lecture X for the back ward propagation formulae etc

Clear exposition. Hands on programming assignments with enough guidance and checks to learn how to do things right from the start. No black boxes, you build all the components from the ground up

Andrew Ng does such a good work explaining complex concepts with clarity. You can note it when attending his classes, because you feel smart, and that's mostly because of his good work teaching.

thank you professor Andrew Ng for making a complex thing simple and clear. the guided programming and metors are also a great help and feel great sense of achivement! Thank you very much indeed!

This course is eminently suitable for students who have little basic programming and calculus knowledge. I really enjoy this course. Meanwhile, I have learned a lot as well. Thank you very much!

A must have to everyone that would like to acquire a deep understanding about Deep Learning. Professor Andrew Ng materials are outstanding and each component is highly detailled in a simple way.

The first time I understood the concept after trying for several months, would like to thank the team who put all the effort to build this course. Looking forward to move on to the second phase.

I found the course very helpful in getting the concepts of Neural Networks. It provides background maths equations to every concept which is very insightful and I found too be very interesting!!

Definetely one of the best courses available in Coursera! The case-based approach aligned with programming assignments on Jupyter offers students the opportunity to convert theory into practice.

This is "THE" best course you can take to enter into the Deep Learning field. Andrew Ng explained backpropagation in such a concise manner that it will always be available in my Mind's cache :).

Helping to build very strong fundamentals for neural networks and machine learning, the knowledge from this helps me intuitively understand a lot of literature and implement solutions of my own.

This course was very helpful in learning about forward/backward propagation as well as general programming tips on implementing deep neural networks via vectorization rather than with for loops.

The course was very interesting and I personally enjoyed working on neural networks.The assignments as well as the quiz was also very testing and sufficient to test the knowledge of the student.

This course has the following advantages:

1) academic presentation of the material

2) an explanation of all the details necessary for the programming assignments

3) an excellent pace for memorizing

Great course to get started with the basics of Deep Learning. Key points are covered thorougly and the programming assignments are possible without prior programming knowledge (though it helps).

I found this course amazing to me because it delved deep into the maths behind neural nets and deep learning, it was what I was looking for. Also having a lot of hands on exercices helped a lot.

I like the way course is structured with assignment. It will be great to add course material as pdf so that students can read offline. I personally found assignment challenging due to notations.

Very use full course. It gave a good understanding of neural networks and deep learning in a great educational setting of combining videos, multiple choice test and practical coding assignments.

Andrew Ng is really a great teacher who knows how to introduce progressively the complexity of deep learning. I would add to the course notes some external reference to go deeper in the algebra.

This course really helped me bridge some gaps in my knowledge. I feel more confident in implementing neural networks now. For the first time i was able to understand the maths behind the scenes.

This course is one of the best courses I have ever had. The instructions were simple enough to follow and I really loved the programming assignments. Also the insights given were really awesome.

I learned a lot of useful knowledge from this course. The video lectures and resource is great. I study the concept and then practice after each week. It make me understand the knowledge better.

An excellent, theory-driven and mathematically-informed introduction to deep learning, and how to implement neural networks in Python. Even for a Python novice it was easy to pick up what to do.

Well taught, great course. Really solid grounding in NNs. I would have liked to go deeper into the calculus for the deep neural networks but nonetheless had a great time learning in this course.

Gives a pretty brief and good understanding about how a deep learning model in general works and at the same time helped to implement a multilayer model of neural network for absolute beginners.