Great course. At some points it struggles to find a balance between high level overview and low-level mathematical detail, but in general it's a great intro to the subject which will serve as a good building block for further self-study!

This has been one of the most amazing learning experiences. Everything was explained wonderfully and is so amazing. I just wish that asking questions could have a better system but that is a coursera issue more than this specific course.

It was really fun learning with Andrew Ng. Sir your have really cleared many doubts that persisted after ML and AI courses at undergrad level. Thanks for teaching. Really looking forward to complete remaining courses with the same spirit

The course is delivered beautifully where you get to know from high-level abstracts of the neural network to low level details of Forward and Backward propagation. I got to know them in a better way and it helps in carrying out research.

Very well thought out course. I really enjoyed taking it. I have programming experience but not quite the mathematical background but during the course I started to learn more and more. I understood most of the concepts after the course.

It was a great pleasure for me to be in this course even though it was a beginner level, I could still get many inner new intuitions and a better understanding of neural networks thanks to Andrew ng for conducting such an amazing course.

The course was so well designed and so well structured that i never felt lagging somewhere. It was taking things from very subtle level to the higher level. Andrew Ng sir was exceptional, and his own experience sharing also helped a lot.

Great course once again from Andrew. I started with Machine learning, so a lot of the algorithms where know to me. But this time we implemented it in Phyton. A great course with good exercises.

Thanks Andrew and your team for this course!

A best course for the begineers if they dont know about the neural network,it just clear all the concepts in a very simple way that you can easily understand.i am thankful to Dr. andrew neg who explain all the things in a very simple way

Although I was having good knowledge of NN theory and decent knowledge of Python programming this course with its very clean and practical codes makes implementation of NN quite easy. Versatility of code presented makes it more appealing

great course, from the very very deep & basic level to teach you how to build your own model, after all the assignment you will understand a lot of questions when you study deep learning, and why the mechanism been called a "black box".

Fantastic follow-up to Intro to Machine Learning. Great intro to NN using python, numpy and jupyter notebooks. My favorite part of the course were the interviews and practical advice from Geoffrey Hinton, Peter Abbeel and Ian Goodfellow.

The contents have sufficient technical details to allow a better appreciation of the capabilities of neural networks. Very helpful tips and pointers by professor Ng throughout. The Lab projects s are awesome and sufficiently challenging.

The course was extraordinarily articulate and quite charming! It enabled me to understand the intricacies of Deep Learning and helped me to take a deeper look into it on my own and even take it up as a career

Kudos to Dr. Andy Ng and Team

Despite coming into this course with a basic understanding of deep learning and neural networks I learned a lot from this introductory course. The information is presented in such a unique way that most anyone will pick up something new.

Superb explanations. Until now I was observing the neural network revolution from distance, this course finally gave me the courage to step up and deep dive into the workings of this fascinating innovation. Thank you Andrew and the team.

Thank you for a truly inspiring and practical course. Courses like these will bridge the gap between the growing strain on educational institutions to provide practical, up-to-date training, and the growing demand for lifelong learning.

Absolute fantastic, great video, explaination and examples are well thought out. The quiz and the assignment are meant to solidify core concept meant for practical use. It truely feels like an education course equaivalent to IRL degree.

It was a great course, very interesting and detailed. The only issue I have with it was probably my own fault, I need to spend more time practicing each week to let the concepts properly sink in (more practice examples would be nice)

I come to this course after completing the 11 week ML course of Stanford. I found the current course and improvement and a consolidation of the learning in the earlier course. Look forward to the remaining modules in the specialisation

This is one of the best Coursera courses I've ever had, it does not require high level of programming skills, and it also explains the very details and mathematics behind the neural network, yet it is very lightweight for 'math phobics'

The course provides a complete overview of logistic regression and neural networks. The video and exercises cover all the details required to understand the concepts.

suggestion: the video's can be edited to update the minor corrections.

The explanations by the instructions were nice. They are easy to understand. The programming assignments were great. I have also improved my programming skills. I am now looking forward to the next course. Thank you to the instructions.

This course covers the basics of Neural Network in detail. The content delivery by Andrew is exceptional. I would recommend this course to people who are looking to make their career in AI and are afraid of the term Deep Neural Network.

the basic concepts involved in logistic regression, forward propagation, back propagation and all the other concepts involved has been explained so that anyone with just the interest to learn can learn. A very thoroughly thought course.