An awesome introduction to neural networks and deep learning. Andrew did a very nice job and explains in a very clear fashion. Can't wait to take the other courses in deep learning specialization

The course content has been structured so well, that anyone can understand the intuition behind neural networks. I have learned a lot in this course, eager to move forward to enhance my knowledge

This Course helped me in placing a strong foundation about the mathematical functions and derivatives used for neural networks like back propagation, activation functions, and many more concepts.

Very clear explanations about basics of neural net's work. Previously I read a book by Y. Goodfellow and scared of huge background in this field. This course proved me that everything is possible

The course is extremely great. the best one for people who knows some theory aspects of ML and Neural Networks and want to learn the practical one to be ready to find a job or finish their study.

After finishing this course, you will gain a strong understanding of linear regression, forward propagation, backward propagation, hidden layers, and building your own multilayer neural network.

Andrew Ng has in depth wisdom on production use of neural nets, this course was easy to follow and very valuable. I highly recommend watching the "Deep Learning Heros" optional video interviews.

Gives a fantastic indepth insight into design of neural networks. Looking forward to using models like tensorflow, etc for more complex problems like speech recognition, medical diagnostics, etc.

Andrew is fantastic teacher his knowledge and commitment towards teaching is outstanding.I thank him and coursera team from bottom of my heart.May god bless you all.

Thanks a lot

Pranit .S. Bhisade

这个课程的设置非常棒~从Logistic回归到单层网络，再到多层网络，一周一节的进度推进。从最基础的概念到复合起来，最后整理成model，Ng的讲解深入浅出，这是我见过的最好的课程，头一次遇到有人把数学讲得如此简单，省略掉中间的证明，化繁为简。

最重要的一点是，DL课程提供了代码，手把手教你搭建一个计算网络，至少让我知道是怎么一回事，从0到整个网络的过程体会到搭建快乐。非常棒的学习体验~~

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