The course aims to provide the practitioner with a deep understanding of the building blocks of neural networks. The math involved is well explained and it gives intuition about why things are developed the way they are. Excellent course and excellent optional material !

Everything Andrew NG is great. This course was a fine introductory for Neural Networks. Sadly I didn't have much free time lately, so I am the only one to blame for the things I didn't learn properly. I can't wait to start watching the next course in this specialization.

I learned a lot from this course even without that much of the in-depth knowledge about the Deep Learning and Neural Networks. Instructor Andrew Ng explained all the concepts in the best possible way such that even a newbie can understand what are DL and Neural Networks.

Gives the fundamental understanding of NNs. Absolutely good for beginners, slow learners or fast learners. Good for a quick recap too. Course content, quiz and programming exercises ensure to gain maximum potential. Thanks Andrew Ng for this amazing tutorials and videos.

Very well taught. Specially the coding exercises give confidence to code your own neural network. Also the Heroes of Neural Network segment is very informative featuring Dr. Geoff Hinton and other giants of the field. I feel motivated to complete the full specialization.

This is so far the best Neural Network explanation i have ever heard (including university). This course helped me a lot in a deep and real understanding of the process. I was finally able to write the equations by myself. Thank you Andrew Ng for this priceless material!

The material is lacking depth for the sake of capturing a large audience. It is mostly practice at mathematical notation for neural networks and practical python tips. But the interviews with well-known researchers in the field make this a five star course in my opinion.

A great course ! I quite liked Andrew's style - his calm , soothing narrative tone while going through the more complex stuff was indeed something that got me going. And it helps when you want to go a bit faster while reviewing the videos - the content still makes sense.

Very well-designed course, the mathematical representation was clearly discussed, otherwise it will be very challenging for students to understand/derive the fundamentals by themselves. Coding assignment is both fun and takes a gradual step, it is never too intimidating.

Great course that moves at a consistent pace that makes it easy to follow along. Programming exercises are simple enough that you can grasp the concepts and see it in action without having to overthink the small stuff. Looking forward to the rest of the specialization.

Brilliant Course. Starts from logistic regression and takes you all the way till deep nets. It has a fair bit of hand holding in the assignments, for better results try to implement the assignments on you system without the helper code after you complete the assignments.

Wonderful course! It had me grasp the basics of Neural Networks and Deep Learning, as well as how to build an L-layer deep neural networks system with Python codes! I can now do some amazing things, for example, using the system to auto-classify my collected pictures :-)

The course was a lot of fun to learn. The course is well structured and easy to follow. Refreshing your calculus a little will help you keep up with the math used. By the end you will have a good practical understanding of how neural nets work and how to implement them.

I have Completed Coursera deeplearning.ai course and I have gained the following Skills:

[1] #DeepLearning

[2] #ArtificialNeuralNetwork

[3] #Backpropagation

[4] #PythonProgramming

[5] #NeuralNetworkArchitecture

https://coursera.org/share/db8111e75fc828bfc830425f0f73ee2d

Content wise this course is absolutely excellent, good balance between theory and labs. Some (quite a few actually) of the videos should be re-edited though as there are redundant sentences/statements which sometimes confuses you, makes you lose focus or get off track.

I really enjoy this course. Well explained & structured. Before taking it, I don't have that much intuition of working, that currently I have (after taking it). It works like building your strong foundation, upon which you will able to do more and learn and can do more.

Excellent course! The content is taught in a way which makes it easy to understand. The focus is on understanding the design principles of neural and deep neural networks and how to code them in Python. The underlying math concepts are beautifully presented when needed.

This is for now the best course I have done in Coursera. The mathematics are really well explained and the course is done in such a way that you can choose if you want to understand each of the details or just have a high level idea of Neural networks. Excellent Course!

Almost perfect course. I wish we could have little less hint with homework, because sometimes I don't understand the purpose of a function even done writing them. However I always go back and review the whole program to get a structured understanding of the whole thing.

The course doesn't make you a deep learning professional. However it gives great explanation about the basic concepts behind deep learning and neural networks. Andrew Ng and his team have done very good job to make such a complex topic accessible and easy to understand.

Great course. Glad I took Andrew Ng's Machine Learning course prior to this to get the basics. I've never programmed in Python before - but managed to learn enough to get through. The problems are structured well, and take you through the implementation step by step.

I love the course content and the way, the instructors made all vital things understand. Thank you Coursera and deeplearning.ai to give me this opportunity to learn and implement deep learning for my own purpose. I really appreciate the efforts for my financial aid too.

Excellent course with clear explanation of deep learning. Andrew shows the large knowledge of the topics and is great master in presentation material for the students. Moreover, all practice works and quizes do not contain any errors and I had pleasure to complete them.

Almost no details were left out. Optional videos to go through some of the derivatives that were skipped during the course would be great. Also The circuit analogy comparing a shallow and a deep network can be explained more clearly with more details so it's accessible.

This course is not only appropriate for the those who study NN first time, but also for those who have a certain degree of theoretical knowledge. This course gave me some really good practice which can help me understand the usage and principal of mathematic algorithms.