I have studie neural network during my university course, I'm an electronic engineer, I have studied in Naples (Italy) I have to say that this course is very well structured, but maybe I'll go deeper on math. This is my personal opinion linked to my forma mentis. BTW Great course, for sure I'll continue with other courses in the same "road". Francesco

That was a amazing learning journey. Topics really covered well and you really do not need to require to know math in advance also python too. Thanks a lot discussion forums a learnt a lot from there. I suggest everyone as a bigenner course then with enough effort you realise that you maybe the person achieve other great things by using deep learning.

This is really well planned course! Be it initializing the parameters, choosing the activation function, Forward Propagation, Backward Propagation or even the Vectorization, everything was explained properly. Moreover, the programming assignments helped understand the implementation better.

Give it a shot if you wish to learn deep learning from scratch

This the best course to start Deep learning and Neural Networks. It has some great basic concepts of Neural network. By the end of the course you will be comfortable enough to work with Neural networks as you implement the most basic neural network structure in the course. One great thing about the course is Sir Andrew Ng himself is teaching this one.

This is an excellent course for deep learning. Hand-on deep learning programming. I like Andrew's teaching very much, I usually refer back to notes to find the most important concept. In addition, I find the programming assignments are very helpful for me to use as a reference for my other projects, either its good structure, format and good contents!

This was my first venture into understanding neural networks and deep learning. I learnt a lot of things along with programming in python. Enjoyed the lectures and the notes by Dr. Andrew Ng. Very systematic and step by step approach, making it possible to grasp the concepts that could be rather difficult otherwise. Looking forward to the next course.

Great course to get started with Deep Learning. Andrew Ng is one of the best people in academia who has immense knowledge of Machine Learning and Deep Learning.

The best part of this course is that it doesn't rely on pre written libraries but encourages you to implement the algorithms from scratch and learn the basics of deep learning at the same time.

This is a very well produced and execute course. The instruction material was carefully crafted to efficiently teach the material while providing interesting and useful insights and guidance. I appreciated the optional videos and study material in the programming projects, as well as links for further exploration. The course was extremely interesting.

The course is excellent! Without doubt one of the best courses I have taken online. Andrew is a fantastic teacher. His enthusiasm in ensuring that the students learn the subject and most importantly develop an intuition for what is going on is deep networks is palpable. As a mat. sci. major, I can easily see applying these networks in my profession.

Really good course for a wide range of audience. If you have a deeper understanding of machine learning, this course would be simple, yet you would be able to have deeper inferences on your own. However, if you have no machine learning background, you can still easily understand the basics and build your own neural network, even if you skip the math.

This course used a systematic approach to teach the fundamentals of neural networks. The professor explains both pros and cons of a particular method which makes this course even more interesting. The importance of vectorization, the effect of multi-layer neural networks on model accuracy and many more such concepts were explained in complete detail.

C'est une formation fondamentale pour commencer les réseaux de neurones et le deep learning; surtout elle est présenté d'une façon intuitive et rend vraiment les choses simple à comprendre.

je la recommande vivement à toute personne désirant mettre ces premiers pas dans le monde de réseaux de neurones et DL.

Un grand Merci à Andrew Ng et à votre saff.

The content of the course is basic but very important for Deep Learning. I have had some experience with DL in speech recognition. I took this course to enhance my understanding of the basic idea behind more complex DL techniques. I think it is good to have this course as the start of DL research. Thanks for the well-organized syllabus and materials.

I already have some experience with Deep Learning and Neural networks and using it in projects, But as expected, explanation in this course is thorough and all the math is covered gracefully. And moreover, It is a course by my idol and my first AI & ML mentor Andrew NG. Can't thank enough Sir Andrew and the team for this great and indulging course.

Awesome Course with great Programming Assignments and course lectures. I like the idea that the assignment makes me follow step by step to understand the logic behind each implementation. Professor Andrew is a great person, I like how he stresses on the math also further lectures that dive into the derivation won't harm as long as they are optional.

This was a wonderful introduction to neural networks! I was particularly impressed with it's treatment of the backpropogation algorithm and how intuitive the course made it - the content leading up to it gave the perfect understanding of foundational concepts without requiring too much prior knowledge, but it also didn't vastly oversimplify anything.

It is very good to see a well-developed course which focuses the core logic and math behind the deep neural network besides the copy-paste type scripting tutorial.

Andrew mentioned the deeplearning and AI as the "rebranding the neural networks" which has been in use for a while. I think, this small explanation clearly shows the quality of this course.

Excellent lectures and very useful programming exercises. The course logistics are well thought through and the process of online learning feels very naturally. The only material that is not in the course but probably should be is at least optional elementary introduction on how to implement neural network using common libraries, such as Tensorflow.

An excellent course offered by Coursera. The instructor explains the concepts with ease and reinforces them to make our intuition of the subject clear. Moreover, practical exercises of implementing neural networks from scratch fostered my learning. If you are serious about learning deep learning thoroughly then enroll in this course without a doubt.

After taking Andrew's first course on Machine Learning that is exactly what I expected. Outstanding video materials with in-depth explanations. Programming assignments are really well structured as well, although in my case (I am programming in Python for quite a while) they were a little too basic. Overall this course is definitely worth its price.

This course (with the videos, assignments, and discussion forums) does a great job of explaining the foundation of how deep learning works. You also get to build things from scratch, get your hands dirty with matrix multiplication, and lots of other good stuff that I think is very useful to know if you want to understand deep learning. Great course!

Excellent course to get started off in Deep Learning. Prof Andrew Ng starts from scratch and eventually builds the level up so high that we can actually create a Deep Neural Network on our own !! I would recommend this course to anybody who is just starting his/her journey in this field. However, some programming knowledge of numpy would be useful.

Excellent course and a great start of this specialization. The video's are quite clear in showing the intuitions behind even the more complicated math, and the programming exercises are good to follow.

I also really liked the 'Heroes of AI' interviews, both to get an insight into the history of AI but also for some tips on how to start in this field.

I believe the notation developed really helped me in understanding. Very consistent and clear, both in the lecture and code.

Also, the parts where Andrew gives intuitive understanding of how and why things work helped me a lot.

Note: I had some ML background before starting the course, and this course has helped me review and further my understanding.

The course is perfectly organized and introduces the student to the very basic concepts and way of thinking in neural networks. Only point of criticism is that no creativity whatsoever is required for doing the assignments, so these are very much on the easy side, perhaps giving an inaccurate impression of the students problem solving capabilities.