I found the course very helpful in getting the concepts of Neural Networks. It provides background maths equations to every concept which is very insightful and I found too be very interesting!!

Definetely one of the best courses available in Coursera! The case-based approach aligned with programming assignments on Jupyter offers students the opportunity to convert theory into practice.

This is "THE" best course you can take to enter into the Deep Learning field. Andrew Ng explained backpropagation in such a concise manner that it will always be available in my Mind's cache :).

Helping to build very strong fundamentals for neural networks and machine learning, the knowledge from this helps me intuitively understand a lot of literature and implement solutions of my own.

This course was very helpful in learning about forward/backward propagation as well as general programming tips on implementing deep neural networks via vectorization rather than with for loops.

The course was very interesting and I personally enjoyed working on neural networks.The assignments as well as the quiz was also very testing and sufficient to test the knowledge of the student.

This course has the following advantages:

1) academic presentation of the material

2) an explanation of all the details necessary for the programming assignments

3) an excellent pace for memorizing

Great course to get started with the basics of Deep Learning. Key points are covered thorougly and the programming assignments are possible without prior programming knowledge (though it helps).

I found this course amazing to me because it delved deep into the maths behind neural nets and deep learning, it was what I was looking for. Also having a lot of hands on exercices helped a lot.

I like the way course is structured with assignment. It will be great to add course material as pdf so that students can read offline. I personally found assignment challenging due to notations.

Very use full course. It gave a good understanding of neural networks and deep learning in a great educational setting of combining videos, multiple choice test and practical coding assignments.

Andrew Ng is really a great teacher who knows how to introduce progressively the complexity of deep learning. I would add to the course notes some external reference to go deeper in the algebra.

This course really helped me bridge some gaps in my knowledge. I feel more confident in implementing neural networks now. For the first time i was able to understand the maths behind the scenes.

This course is one of the best courses I have ever had. The instructions were simple enough to follow and I really loved the programming assignments. Also the insights given were really awesome.

I learned a lot of useful knowledge from this course. The video lectures and resource is great. I study the concept and then practice after each week. It make me understand the knowledge better.

An excellent, theory-driven and mathematically-informed introduction to deep learning, and how to implement neural networks in Python. Even for a Python novice it was easy to pick up what to do.

Well taught, great course. Really solid grounding in NNs. I would have liked to go deeper into the calculus for the deep neural networks but nonetheless had a great time learning in this course.

Gives a pretty brief and good understanding about how a deep learning model in general works and at the same time helped to implement a multilayer model of neural network for absolute beginners.

it's a great course. I like the interview part very much. By talking with actual researchers, I get to know more about their ideas and thinking, it's a good supplement of their papers or reaches

An excellent way to know Deep Learning theory and practice with programming templates to solve real world problems. Now I'm very confident about applying these solutions to my own problem space.

Great introductory class on coding up your own L-layer neural network. I thought the assignments might have been a tad on the hand-holding side, but perhaps that is necessary for a first course.

This course gave really good understanding of what a neural network is and also it was really confidence boosting to implement a network from scratch giving a through knowledge of the processes.

I expected the assignments to be a bit tougher. They are more of spoon feeding. But it will really be helpful for amateurs in machine learning. Overall the course and the material was excellent.

This is the best ever course on Deep Neural Nets I have taken so far. Programming assignments with math made perfect sense on how to use numpy and python to build neural nets. Thank you so much!

It is very helpful even if you already know about linear algebra and some mathematics. The course is simple and you can get an intuition about Deep Learning. I am looking forward to next course.