I really liked the structuring of the contents. As it is very gradual and easy to understand. I would have loved if there was a detailed explanation of how one could relate to a real life production environment. I understand those details will be covered in the later modules, however a reference to the real life scenarios add to a holistic learning.

It is very easy and clear to follow the course. I have learned the main idea and details of the deep neural network. Also, by implementing the deep NN in Python, I converted the idea into something real. I feel very happy to start learning Deep Learning by following this course and I will continue to finish the other courses. Thank you a lot Andrew!

I liked that the course went into the mathematical depths of deep neural networks. I would've liked some more details about the derivations themselves, although, thankfully I'm still able to do the maths, but I think they might help some people who are more curious by nature but aren't particularly familiar with chain rules or derivation in general.

Another fantastic course from Dr. Andrew Ng! This course is the perfect follow up for Dr. Ng's introductory machine learning course. I was a little concerned about the Python programming assignments at first, but they proved very valuable not only to solidify concepts seen in the lectures, but also to teach me a great Python programming methodology.

This is probably the best course that I have found for learning Neural Networks and Deep Learning. This course starts with the basics and slowly takes you to the complexities of Deep Learning without any efforts and smoothness. Andrew is the best guide! He is my source of inspiration! Thanks, Coursera and deeplearning.ai for such wonderful courses.

A fantastic course taught by an excellent teacher. Andrew taught all concepts related to ML and DL in a very simplistic and nice way. He made sure that no concept was left untaught. I had a really fun time doing the programming assignments and I feel that now I can program a deep learning network on my own. Thank You Andrew for helping me to do so.

Andrew is patient. He also believes in a future with AI applications running on any major or minor scale and is invested in preparing people to shape this future.

Well, I'm invested in helping people's healthcare in low-income settings. I believe we are aiming at the same future, and because of that I'm fully energized to go further with my studies.

Besides the calculus involved, this is course is very straight forward. I'll recommend to understand at least the basic math concepts, such as Linear Regression (Why it's used in deep learning context), Matrix operations ( Addition & Multiplication ) and Derivative. And also have a basic experience with Python ( How to solve basic problems on it ).

I think Neural Networks have a lot of potential for research and industry. This course is a fantastic hands-on, build your own neural net from scratch course. This builds the basic math and other intuitive understanding required to be able to use packages like tensorFlow, keras, caffe, torch etc. Thanks to the entire team.

Abhijeet

MS in EE, Stanford

Great course to get started with deep learning. Andrew Ng is a machine learning guru and the perfect teacher to get started in this field. The programming exercises are well paced, and do not expect too much prior knowledge. Yet, with the well-designed lectures, one can attain a decent level of knowledge by the end of the course. Highly recommend!

Great course for an introduction to Neural Networks and Deep Learning. Andrew was very clear to explain the concepts as well as showing some useful examples. I especially enjoy the optional videos at the end of week 1-3, in which Andrew gave an interview to the leading scientists in AI space. I found all of them very interesting and inspirational.

Excellent review of neural networks and deep learning. The course does a great job at explaining the math and teaching the intuition. The math is very fascinating, but even if you don't understand all of it, the instructor explains all of the intuition that you need to know. This course is a great combination of informative and beginner-friendly.

This course is well-organized, with easy-to-understand explanations. In conclusion, it is really great for a Deep Learning Beginner. It is highly suggested that the student should have learned about basic calculus and linear algebra before taking this course since it would save a lot of time understanding the derivation of most of the algorithms.

Nice study material. So subtly organized and presented by Andrew. Thank you veey much. I look to complete the combo integrated deep learning package. Initially i din't know of work how. So just copy pasted code. But gave quizes by self failing twenty times for this course. Now i will code and make my accuracy better. Deep is all we got in AI now.

To deep dive in deep learning, this course is like a starter. This course helped me to understand the neural networks in a better way, practical exercises are very helpful in shaping the concept and that's the way you learn something, read-->practice-->read again, correct yourself, learn in machine learning way. I am really thankful to coursera.

One of the best material available online to learn Neural nets. The best thing is all these videos are available on Youtube for free and i went thru these videos many times before daring to take this course. After taking the programming assignment I am confident that i would be able to complete this specialization course . Thanks a ton Andrew Ng.

This course is perfect for getting deep understanding about the foundation of shallow neural networks and deep neural networks. Course provides an insight about the basic mathematics of the neural networks. Thanks to the team for creating such a wonderful course and Coursera for providing the platform for students to gain knowledge and education.

This course was very helpful for me to start implementing deep neural networks in python. Thank you for course teacher Andrew Ng and Moderators. I learned a lot of skills and intuitions about neural networks and deep learning. Also, I planned to finish all courses in Deep Learning Specialization to get more advanced knowledge about Deep Learning.

Prof. Andrew Ng rocks, as always! He kept everything simple.

(I dropped out of Prof. Hinton's Coursera neural networks course after week 4, because I could not follow where he was going with what he was explaining. But Prof. Ng is simply a great teacher and has great flow of concepts and ideas. Prof. Ng's courses can reach a very broad audience!)

The course was well written. Although I had the basic knowledge of neural networks prior to this course, it helped me gain an insight into deep learning. Moreover, it introduced me to the machine learning libraries of python. This course is so well designed that even a noob with very little programming knowledge can learn and apply Deep Learning.

This is a very well planned course to begin the journey of Deep Learning with. Prof. Andrew is an amazing instructor. It can be easily deducted by attending his courses, that he has extreme knowledge in the field of Deep Learning. This course will teach you how to start on with Neural Networks and get into Deep learning by building deep networks.

Awesome course. Loved Andrew's other course as well and delighted with this as well. Gentle intro, always reassuring tone of Andrew and yet, very well explained concepts.

For reference: my Python skills are maybe 3-4/10; into Product Management and not Analytics / Dev; yet, could finish it without getting lost.

Andrew is a rock star!!

Thanks a lot!!

The course is easy to understand but very useful in practice. The programming exercises are really I wathced Ng's Machine Learning five years ago and it opened the door to a new world for me in AI. It is his specialization which brings me back even though I have not watched Coursera for a long time. I am looking forward to his other four courses.

Very in-depth exploration of deep learning and its use case in daily life. The mathematical reasonings are well explained and the equations are translated into Python code. The application of classification of cat and non-cat images was interesting and fun. Highly recommended for anyone for learning machine learning and deep learning in general.

Really enjoyed the course. I've taken the machine learning course from Andrew as well on cousera before. But I find this one a lot more engaging and well structured, assignments are very clear and help a great deal with the understanding comparing to the Machine learning one. Now I feel a lot more comfortable if I had to train a model by myself.