It gives me a symmetrical understanding of DL, which I have picked up in cs231n online. However, after taking this course, I figure out most of the details and the work flow of NN becomes clearer. Thanks a lot! In addition, from the assignment, I am impressed deep by "modularization" coding. It benefits a lot.

An excellent primer to set foot on the most happening area. When I started, I thought I won't be able to complete this course. I kept going back and forth to the Math concepts and suddenly everything became clear. I am going to redo this course again. Thanks to the wonderful people who brought out this course

Best course on Neural networks. If you are trying to learn from scratch without any idea of neural networks or machine learning, this course is for you. Personally, being from a mechanical field, this course has still helped me develop deep insights even though i didn't have any background in neural networks.

Amazingly well-organized videos, support material, and programming assignment, transforming comprehensive matters (calculus, linear algebraic, numeric calculation, Python programming) in a didactic approach for learning.

The balance between the theoretical fundamentals and the practical exercises was perfect.

This is one of the greatest courses on deep learning ever. The reason includes its simplicity and teaching method, which includes the fundamentals, though this course is categorized into intermediate. I highly recommend to take the machine learning first and then come here for the advanced lectures. Thank You

Awesome course. The lectures are very well explained. The only thing I didn't like so much was the use of already made helper functions. I think we should be able to build everything from bottom up. Anyway I understand that the helper functions are a shortcut for put up as fast as possible the things running.

Excellent content and very well explained. Thanks for this amazing course.

The course cover the building blocks of a Neural network. Andrew (and his team) did a great job by organizing the content in an evolving way in which you have the chance to build the knowledge from each piece of a (deep) Neural Network.

Great course to introduce neural networks and deep learning. Notation for variables and math are carefully selected for easy understanding and programming. Adndrew's insight and tips helped answer all my questions really well. I will continue to complete all remaining courses for deep learning specialization.

It's an excellent introduction course for anyone who interested in Deep Learning. However, I would suggestion people who's going to take this course to spend a little bit of time to understand the calculus used in this course so that you'll have a better understanding of the logic behind the derivative stuff.

The key part of this course is the ready practical application and ease with which the fundamentals were explained in forward and backward propagation. Andrew could not have made it any simpler. For maths involved in deriving the equations for backward prop, links to some study material would have been good .

Very nicely structered course! Also great ratio between taking in knowledge and putting that new learned info into practice. I really like that everything you need is provided so you don't have to google lots of things and get frustrated if you can't find certain information (like at most university courses).

An excellent tutorial for deep learning beginner's. I think it is better to complete the Machine Learning course under COURSERA before enrolling into deep learning. One suggestion I would like to post that it would be better if the database creation with H5 is given and also the feature extraction process.

Great course and Great Instructor! Thanks to your community, I had the chance to learn useful deep learning concepts and programming skills that definitely helps me with my academic researches. I wish the opportunity to learn more stuff from your world-class community.

Best Wishes for Coursera and Andrew Ng!

It is very good course to explain Neural Networks and Deep Learning. I recommend anyone who need to learn Neural Networks and Deep Learning, don' t miss this course , It is very useful, and you will get importance concept of Neural Networks from this course. Then you will be confident you own Neural Networks

Excellent course, the step by step approach took me through simple to deep neural networks with great videos and intutitions. Hands on assignments were challenging but good, they made me review the material so that by the time i had finished the assignment i was confident in the deep learning architecture

I am planning to complete all the courses in the Data Science Specialization. My primary goal is to understand what happens behind the deep learning blackbox. With that in mind, the first course was a good introduction to Deep Learning networks. I also had a lot of fun working on the programming assignments.

Excellent introductory course. Assignments are organized very efficiently saving lots of time to focus on learning the concepts. Explained in a very accessible way, requiring only basic knowledge of underlying math and python. I would recommend it to anyone regardless of background in math or programming.

Andrew NG does a great job of simplifying very complex concepts and presenting them in a very simple way. The whole course is organized extremely well and carrying out the assignments in jupyter notebook was an absolute charm. My only take back is that the course needs some reference materials to study from.

Loved the course! Just amazing. I consider Andrew Ng one of the best instructors in this field. He takes this complex subject and step by step he will give you everything you need to understand how Neural Networks work and start implement your own Deep Learning algorithms. Looking forward to the next course!

Curso espetacular!!!

Tu irá aprender desde o básico até ao avançado, os conceitos e as ideias são muito bem explicadas pelo professor, os exercícios são muito divertidos e empolgantes e o ritmo das aulas são muito boas bem como a gradual complexidade.

Parabéns aos professores e desenvolvedores deste curso!

Everything explained in detail. Understood key concepts clearly and easily. Repeating some concepts made it easier to learn. Clear explanations on what to do and what not to do. No unnecessary coding requested from students throughout the course. Only essential parts are requested. Generally very satisfied.

Before the course I had the knowledge about Deep Learnning, However I didn't have the knowledge on Phython. The interesting part was how Vectorizing solves the problem much simpler. All phyton terms and commands were new to me but instructions and lessons were filling the gap.

Thank you for your nice work.

Excellent course. Excellent lectures, good quizzes to reinforce materials. Specifically I really appreciated how in-depth they went into explaining the matrix dimensions with vectorization. If I had one complaint, I'd say that homework was a little on the easy side, but otherwise a truly outstanding course.

Great course by Andrew Ng and staff - the clarity of explanations and intuition is outstanding. You will need some basics in machine learning, for that Andrew's Machine learning course (also on Coursera) is perfect. Some fundamentals of Python will also make the programming assignments easier to understand.

Great course. Only problem is i think homeworks are too hand holdy. I get this is maybe easier for the autograding but it pretty much hands us the code and just asks us to paste it in the correct place or translate said formula into python. I feel learning is lower because of this.

Otherwise all was perfect!