Great Course! I feel like I have a solid foundation to continue my education in deep learning and building neural nets. Professor Ng kept my attention through every video, and I was pleasantly surprised at how much I got out of this course. I would definitely recommend this course to anyone who is wanting to learn the basics of machine learning.

very nice course as can be expected if Prof. Ng is the instructor. I was surprised that we built a deep neural network that did a pretty decent job of image classification with a neural net we build from scratch(no Tensorflow or keras or pytorch) and it did not require any special hardware , I did it on my old laptop. Happy to have completed it.

This is a perfect head start foundation program for beginners or ML enthusiasts who want to delve into Deep learning. After Course 1, you will get the wholesome idea of what neural network is all about. I enjoyed the course a lot. Easy for people (like me) who already did Ng machine learning course but still it gives a good insight and practice.

作为一个中国的学生，一个英语不是母语的人，吴恩达 老师出色的讲解使得语言不再成为障碍。吴恩达是一位出色的老师，课程的题目总体上还好，quiz偏难。编程作业出的很认真。

As a Chinese student, not a native English speaker, Mr. Andrew ng's excellent explanation makes language no longer as a barrier. Ng is an excellent teacher, the tasks of the course are generally good, quiz is little difficult. The programming homework is perfect!

Very well structured and organized! Great time investment.

The programming assignments line up well with the lectures/videos and actually give you the chance to apply what you've learned without being overwhelmed.

I would recommend this course 10 times over! I am very satisied and look forward to the remaining courses within the specialization.

The course is pretty well designed for people with little to no prior mathematics and programming experience. I especially liked the programming assignments as they were fun to implement and solidified the concepts that I learned through the videos and actually seeing your model in action for example in the cat classifier was pretty satisfying.

Amazing course on Neural Networks and Deep Learning. Excellent the concepts by Andrew Ng, absolutely weel done and detailed the Labs (exercizes) that give you everything to finalize the course. And finally Forums and Discussions have great content and can help you close open points, issues in programming and faced during exercizes. 6 stars! :-)

A very good introduction to neural nets, with necessary underlying maths/formulas behind explained. The learning curve is very progressive and allow a well understanding of neural nets building blocks before deep into deeper topics in later courses. Andrew is very easy to follow, and take all the time to explain all concepts, even simpler ones.

Very intersting courses. The content is based on an intersting equilibrium between theory and practical approaches. I highly recommend this serie of lectures for anyone who would progress within this field. For the educational background, no need to be a mathematical expert which makes this class very valuable for all kind of industrial actors.

The course is very good for introduction to deep learning. I would hope that it can provide more reference materials for the derivation behind the formulas to the learners who want to know more. Also, providing some optional and similar projects without code templates will also be helpful for the learners to try the whole process by themselves.

Well structured and develops intuition in subject matter like no other professor or medium has been able to for me personally. Prof. Ng makes learning Deep Learning exciting, and this introductory course has only made me more excited to complete the specialization and get more involved in the fields of Artificial Intelligence and Deep Learning.

Amazing Course !! Basics are provided to build neural networks. Would've liked seeing more in-depth calculus and derivations though.

Best part for me was the interviews with field experts, and seeing how they started, and their way of thinking :-)

I would recommend this course to anyone interested in Deep Learning and doesn't know where to start.

I found the Neural Network portion of Ng's Machine Learning course to be significantly more challenging, especially the programming assignments. I thoroughly enjoyed both and I think the two courses together are of great benefit. Very thankful for the work Andrew Ng and his team have done for all of us and look forward to the following courses.

Coming in a dev who doesn't use python, I really liked the course. The lessons are good. The first lab is easily the hardest part. I wish there was a bit more on numpy and matrixes before the first lab. It gets significantly easier with each week as they build on eachother and you get some repitition with forward and backwards propigation.

A very good course for those who want to understand the basic concepts of neural networks and how to implement a simple net using Python. I really appreciate the math explained in this course. It is very helpful for a person with little mathematics background like me. Also, the programming practice is useful with lots of detailed explanations.

I've been through so many courses in deep learning, every single one of them either starts with Keras or some other high-level framework. But this course touches the very bare bones of Deep Learning and forces you to implement Logistic Regression to a Deep L layer neural network completely using Numpy.

Prof. Andrew Ng is a great teacher indeed!

In my opinion, this is one of the best course to get you started right at the point!

Too many people complaining about the programming assignments but if you were a complete beginner to the world of ML (and even noob at Python) like me, you would have been grateful instead. Thank you Prof. Andrew Ng and Coursera Team for this wonderful course.

Great overall. I came in with a very basic understanding of Python, but had a deep understanding of the math and stats from Uni so managed to follow the lectures relatively easily.

I would say that a deep understanding of the math/stats is not needed, but it definitely helps. Especially when it comes to visualizing what the matrices look like.

Final assignment was challenging but worthwhile. This is a good introduction. I would still recommend implementing these things on one's own, because the "sandbox" that Coursera provides is kind of... limited... but it's a good, fast introduction to neural networks, and you do have to kind of understand how they work to implement it quickly.

An extremely friendly course in deep learning (basic feedforward neural network), even those without background knowledge in calculus and algebra can get ahold of it.

Although if you're CS major and have sufficient math knowledge (in terms of an STEM student), you may need extra challenges to get deeper into deep learning.

Well worth the price.

Great course on the fundamentals of Deep Learning from DeepLearning.AI taught by none other than Andrew Ng. It was very beautifully designed to cover forward propagation, backpropagation, gradient descent, and all other fundamental deep learning concepts like layers, nodes, activation functions, parameters/hyperparameters, and cost functions.

The course really drills into the maths behind ML and Andrew Ng breaks it down into very understandable chunks. My only recommendation would be to ensure your Python is pretty solid beforehand as the course does not guide much with the scripting for the assignments so if you do not know Python well you might get quite lost at times, as I did.

Forever in awe of Professor Ng's style of instruction, learning has never felt this fun and rewarding! This course gave me a whole new perspective on some of the things I know about deep neural networks, and was a great start to the Deep Learning Specialization. Eagerly looking forward to taking the rest of the courses in this specialization!

I've completed another great course by Andrew Ng. After his ML course, this was a pretty good neural network revision and practice on Python. I can't express how grateful I am to Andrew and Coursera's team to provide these great courses for students who need financial aid options. Hopefully, I'll pay for these great courses once I find a job.

It was amazing. Andrew sir is really good and this course is also made to be understood by non-AI professionals. I wanted to know about the basics of AI, so I took the basic AI knowledge course called "AI for everyone". Then I found myself interested in learning more. so I took this specialization. Thank you for helping me gain AI knowledge.