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.

Perfect mix of theory videos and practice programming. Perfect for all levels. It has helped me a lot to understand the nature of Neural Networks and Deep learning from both a mathematical and programatical perspective, getting the maximum insight out of it.

Great explanations with updated content compared to the earlier Machine Learning course. New programming assignments are wonderfully clear and lead you through building a working Deep Learning image classifier with very little struggle. Highly recommended.

After finishing the Machine Learning Course by Andrew Ng, I just had to do this 5-course specialization and it didnt disappoint. In depth explanation of the 'intuitions/ concepts' to make sure you understand what is going on and why it works the way it does.

It is really an excellent course. I am fully satisfied with the content of the course and the style of teaching. I loved the in depth mathematical explanation of the neural network. I think I would have missed a great learning if I did not chose this course.

This was just a fabulous course! The lecture videos and python notebooks were very comprehensive and structured in such a way to really promote learning the underlying fundamentals of neural networks. Outstanding content and organization. Highly recommended.

Thank you for this course. I ever studied Neural network, but I knew only concept. I always want to know how to create NN for long time ago. Now I understand how to use it in Supervised DLP. I hope that next course will teach me about unsupervised DLP too!!!

Very good course! Andrew has the magic to convey complex ideas in a straightforward and easily understandable way. Also smooth learning the courser provided. Homework is great, although I would argue that it could be more challenge and thus more interesting.

Great Course for ML Practitioners. My mentor Andrew NG was the catalyst for my career in ML when the first course was released in coursera a few years back. This course helped me in understanding the concept behind Deep Learning. Absolutely loved the course.

It's a great course! Instructions, tips and other details are helpful to understand principles and methods of deep learning. I believe it took a amount of time of Prof.Andrew to set up such a online course. Thanks a lot for providing such a excellent course!

Prof. Ng has a real talent at breaking down complicated concepts into easy-to-understand parts. The homeworks are not trivial but are easy enough for someone with little python or machine learning experience to work through with a bit of effort. Very useful.

The entire course is very well structured. There are clear goals for each lesson and also easy-to-follow instructions that are needed to achieve those goals. It has made me much more confident in learning machine learning as somebody who is not good at math.

Much better paced than Andrew Ng's previous Machine Learning course, this course explains step by step how to implement a simple deep neural network in Python. The Jupyter Notebooks are very well structured and explain what is going on every step of the way.