It was a great experience learning from a top teacher. Perfectly explained. This first course was easy to follow. Thank you for all the effort to make this course great

Background information helps to understand models, how to create and organize them. It also provides useful information on hyper parameters and key areas for tuning NN.

The didactics and concern of Andrew Ng in making it a complex subject in something accessible and easy to understand is impressive and admiring!

The course is excellent!

This whole specialization is incredibly good. I understanding of ANNs is much better after this series than it was after graduate-level coursework on machine learning.

A very good lesson for deep learning beginners. Andrew's lecture is easy to understand, and the quiz and programming assignments cover basic knowledge of deep learning.

Super good course, I already had a pretty good basic understanding of deep learning before I started the course but I now I know how to read math and turn it into code.

Extraordinary course. Very well explained and the programming exercises are very precise and useful to learn the correct implementation of the techniques seen in class.

Very nice introduction to the deep learning. Gives enough theory and math to understand how the whole process of training works and being able to create your own model.

Good intro for neural networks and deep learning. Really good instructor with clear voice. The logic of the course materials really helps me to understand the concepts.

Excellent and intuitive introduction to L-layer neural nets and their applications.The assignments were decided to design and program neural nets efficiently.Brilliant!

Focus on explaining the fundamentals made this course better than many other I tried before. I am very thankful to Coursera, Andrew Ng and team to provide this course.

Very good course for deep neural networks. The basic knowledge of neural networks and programming exercise are very useful. I really enjoy this online learning program.

This course is amazingly designed to learn the key concepts and hands-on practical experience using python for DEEP LEARNING. Thanks for arranging this specialization.

The in-depth analysis and hardcore coding gave me a fantastic experience, I recommend this course to every beginnering to get an in-hand experience of Neural networks.

This was my first course related to machine learning. The videos of the instructor was simple and straight to the point. I plan on going forward in this specialization

Its a great course for the beginners. It was pure concepts which everyone need to know before working out the problems. One gains a confidence after doing this course.

Awesome delivery of topics. I liked the programming assignments and the way Andre delivered the course. It is friendly for those who did not have prior ML experience.

It will be a good start for my deep learning adventure. I'm going to continue with other DeepLearning.AI courses. I'm very happy to attend the course. Thank you again.

The concise descriptions of the lecturer helped me understand the concepts very easily. I am also able to appreciate the value of vectorization in computing. Thanks!!!

I have never enjoyed any course like this so far in my life. The modularisation of the assignments is so well planned that even a layman could understand the concepts.

Great course with easy pickups, especially for someone with prior python knowledge. A bit more mathematical details will be better, but all in all it is a nice course.

The course is great but in week 4 have a problem at grade that you need to change Grade function to same function at the def so after that you can grade your assetment

One of the best courses I have done during my engineering studies. It helped me to understand theoretically and practically. Indeed it is very helpful and informative.

One of the special features of this course is that it teaches you some complicated concepts in a very simple way. I learned a lot in a short period of time. Thank you.

Got in-depth intuition about how Neural Networks work and their architechure. It was good to learn the vectorized implementations. Discussion forums were very helpful.