Excellent course for anyone who is curious to learn machine learning. Concepts are presented in a very easy to grasp fashion. And programing assignments really help to build the concepts to life.

Andre does a great job explaining concepts and intuitions, and the contents of the course are up to date and relevant for anyone looking at getting started with neural networks and deep learning.

Pretty good introductory course to neural networks and deep learning. The assignments are well-structured and the course provides everything needed to complete them. Videos are clear and concise.

Loved the final assignment to build my own deep network from scratch — I feel I truly understand forward and backdrop. Despite the difficult math and derivatives, I thoroughly enjoyed the course!

Andrew Sir is amazing professor! He teaches concepts really nicely!! Even the programming assignments are fun to do thpugh sometimes autograder grades wrong. But overall it was a nice experience!

You go from learning what 1 neuron does, with the concept of logistic regression, untill up to form a N-dimensional neural network. All of this, step by step without loosing details and deepness!

This is a great introduction to NN I was not able to understand it on the ML course 2013 by Andrew'ng but this course explains in depth the material and really makes NN simple.

Thank you Coursera

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.

Course is great for understanding the basic concepts of neural networks. Content uses notation that is standard in modern application and can lead you to applying the concepts to other use cases.

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.