This course gives us a good introduction to neural networks.

also since it teaches us to build neural network from scratch it gives us a good understanding of neural nets.

it is very good course to start learning neural networks and it gives me a lot of skills such as logistic regression and numpy , build neural network so i recommended it

El instructor de este curso te explica claramente todo los fundamentos teóricos del mismo. Al realizar la practica es muy sencillo seguir los pasos que ahí se te indican.

Great Course to get a much deeper understanding of how neural networks work and the Math behind it. Recommend for people who are keen to learn how things work internally.

This is an amazing introduction to neural network, the programming assignment is awesome, I can say that I am able to build a neural network after complete the assignment

It is helpful for me to understand the basic idea of neural network. However, it is better to give us more difficult programming homework to impress us more thoughtfully.

Gave a clear cut explanation about what lies behind the computations of Neural Networks.The sequence of videos will give you clarity about the back-propagation algorithm.

Best course I ever took in Coursera!!!

The lectures are interesting and well prepared and assignments have clear objection and well commented!

Everything is quite clear!

This course clarifies a lot of myths i had about neural networks. It is very intuitively explained, especially the explanation of neural networks via logistic regression.

Excellent course! I highly recommend it! Andrew Ng got me up to date on my linear algebra (the basics), and provided a fantastic and intuitive overview of the technology.

everything was really good ,but for me a good explanation of assignment on how it works(just to verify the content) after we finish completing it will make it even better

I downloaded the videos to my tablet, however when I finished these videos offline, the system showed me I am not finished. It is a big problem, other things was perfect.

Great course, Prof. Ng explains many intuitions, also these exercises are very helpful.

And, I am really enjoy watching these interviews, many useful advices and thoughts.

The cousera　is　great, which is suitable for the beginner of machine learning.I can't wait to watch all the videos, Hope i can do the great work like the Great forerunner

Quite happy with the maths described in the course. Great Introduction. Looking for more materials to study maths behind the forward propagation and backward propagation.

Andrew NG is always great. The course is structured very well - They're hard enough to be challenging (occasionally making you think for a day) but so hard that you quit.

Great! Prof Andrew Ng was excellent in explaining the mathematical logic. Being new to Python, it took me lot of effort to get even the simple syntax correct sometimes.

Brilliant way to get started on deep learning and especially understand backprop and gradient descent for deep networks in a very intuitive and natural way. Thanks a lot!

This course is fantastic and programming assignments were easy (if you get stuck just look in the forum) even for somebody like me who has no experience coding in python.

There is not much (if any) new material or theory beyond the Stanford course, but I found the python implementations much simpler and more useful than the Matlab versions

This courses is a great course on Deep Learning. You will learn many technique such as vectorization to make data go faster in learning process instead of using for loop.

This course is a must for anyone who want to understand and develop a career in neural networks. Back propagation algorithm is explained in very simple and effective way.

Very good explanations especially for the derivative intuition and chain rules explanations which makes my life easy in understanding back propagation. Thank you so much.

Very thorough and easy to understand. Although some of the material seems redundant, it is slightly different and necessary to understand how to implement deep learning.

Very well organized course materials. Assignments are provided with appropriate support (instructions and test cases). Some quiz questions could be worded more clearly.