Thank you very much for creating this course which provides detail picture of the deep learning intuition. The programming exercise complemented the theory quite well. Thank you for that as well.

this is the basic lecture of Deep Learning, you will study the FP and BP algorithm and How to apply derivative on Machine Learning! thanks to Andrew, I get a lot of knowledge on Deep Learning!

Very methodical, goes with the student hand in hand. The exercises though are not as good, as one could write it without understanding the mechanism, rather following a protocol and instructions.

Really helpful for me to understand the details of the deep learning framework. Now I know what are the forward propagation and the backward propagation and how do the deep neural networks learn.

This course is very well written. It introduces the necessary concepts in a good order and builds open them well. The exercises test the right knowledge and are challenging but not too difficult.

Super helpful for my understandings. If possible, it would be better with advances on recording quality of Andew's voice. It's now somewhat stingy with some high tone noise. Anyway, thanks a lot.

I had almost full score in linear algebra class back in university but still find the detail math illustration VERY useful to help me pick up what's forgotten after leaving the subject for years.

Nothnign really surprising in this course but all the important topics are well discussed . the material and the assignments are solid and well thought (though the assignments might be too easy).

Have to admit this course is amazing and explain neural networks thesis so intuitive and thoughtful. When change to C# I can build up a neural network from scratch :D Highly recommend this course

Buen curso! muy concreto y explicativo por parte del Profesor Andrew NG. Interesante introducción práctica al Deep Learning. Gracias a Coursera por la ayuda económica para haber hecho este curso.

This course offers a great introduction to the basics of neural networks in a practical manner. The explanations are very clear and the exercises help solidify the concepts taught in the lessons.

Extremely good. Well structured, it is evident that a huge amount of work went into this course. Highly recommended for anybody looking to get into the nitty gritty of their own Deep Neural Nets.

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.