I got to learn not just the conceptual aspects but the actual implementation techniques which come through a lot of practice. Like the way, helper functions ease the understanding of the overall model. Also, the weekly guest interviews were highly motivating.

It is one of the best courses for gaining much exposure in Neural Networks and Deep Learning.I would recommend this course for every one who wants to enhance practical knowledge in this field.The course instructor is highly qualified for teaching this course.

This is a very good course that lays all the foundations one might need to implement deep learning. The instructor was good. Even if I had not done Python programming, I managed to follow through and complete the course. Thank you deeplearning.ai and coursera

I loved the Neural Networks and Deep Learning course. Andrew Ng is an awesome teacher and it is so simple and enjoyable to follow his explanations. With the theory and programming exercises combined, I am now able to build my own simple Neural Nets in Python.

Very great course! Prof. Andrew Ng explains complex concepts in an easy-understanding way, it is good for CS students without any deep learning background. And the programming homework are well designed to let me get deeper understanding. Thank you very much!

Nice course for beginning deep learning. The only negative point of the course is it does not say anything about how to process the data from data-sets. Maybe a little introduction to how to preprocess data or how to handle data from data-sets will be helpful

Really great course. It follows a bottom up approach to understand deep learning concepts. One suggestion for improvement would be to give additional resource links corresponding to learning of every video if someone wants to delve deeper into those concepts.

Extremely good basic about deep learning as well as the implementation in Python. The last assignment was quite challenging and took time for me to digest all the codes. Recommended to do with friends and it is better if you have good Python Skills beforehand

Fantastic Intro Class. For a newbie in DL, all you need to come in with is some Python and High school Math basics and Prof. Ng will take you further. It requires some careful thought and work to internalize the depth and inner workings of DL. Very enjoyable.

I really liked this course. Used it as an introduction into Neural Networks, something that I am very interested in. Helped me understand what is happening behind the scenes, and it was very cool to make my own programs utilizing what I learned in the course.

I am a beginner in the field of Deep Learning and this course is structured and informative in the field and the assignments are intuitive and takes a modular approach to build a L-layered NN from scratch which gave me a better understanding of how a NN works

Great material, well explained. The programming exercises are really a good way to get a good grasp of all concepts. It is also a nice way to get started with Python/NumPy.

This course is easy to follow if you have followed the Machine Learning course before.

I just watched the videos and I must thank Dr. Ng for the great work. This course is must watch for people who are or intend to use deep learning to solve data science problem to understand the logic of deep learnings. Looking forward to next course in series

I loved this course. The lectures helped me understand the mathematical logic behind neural networks models. I'm extremely grateful I got to take this course. This course is most helpful for understanding to form better mental models with vectors especially.

This is really an amazing introduction course to Neural Networks and Deep Learning. Vectorization approach has been discussed pretty systematically, thereby making it very easy to understand. The coding exercises helps learn the concepts discussed very well.

It's an amazing course, the concepts are explained in a very lucid manner and I was hooked to the content from the first day itself. The material presented was really easy to understand and the entire course was driven by hands on coding the neural networks.

Probably the best course for deep learning and I can definitely say that I have better intuitions now about the working of neural networks. Andrew Ng is the best teacher, Huge Respect. Thank you coursera for enhancing my knowledge with these type of courses.

This course is tremendously awesome. There's a lot to learn about the Neural network and deep learning. This course also improves my general understanding of mathematics regarding differentiation and vectorization, which I never thought gonna use in my life.

well i have studied about neural networks before but in this course i have learned how does it actually works and how to implement it without using sickit learn library. it was a really good and enjoyable experience and I am really happy to participate in it

This is a unique and exceptional course. It has guided me step by step, from understanding the very basics up to build a deep Neuronal Network. It is remarkable, totally worth doing it. I 100% recommend people interested in this field to take up this course!

This is very good course. By taking this course, I can get the fundamental concept of building deep learning model. The most interesting part of this course is where you can learn the concept from mathematical aspect and start to code it using vectorization.

The concepts and cases in teaching are very good and they're taught very well but I think if programming assignments are not wrote before and student complete it, it's better. I think if all of the concepts will be done by student, it will have better result

Very well organised, this course is an excellent learning opportunity, with very clear explanations and a step-by-step approach whch guides you though the actual implementations of algorithms. I also very much enjoiyed the interviews with experts. Great job!

Quite enjoyed it. Would appreciated more difficult programming assignment because the current one could be easily solved simply by following the function signatures, thus depriving you of the necessity to re-read the material and thus solidify one's learning

This course was amazing for teaching the fundamental math (which is mainly linear algebra and calculus) behind the functionality of neural networks. The math and symbols are a bit complicated at first, but you get accustomed to them as the course progresses.