This is the most fundamental course in journey of Deep Learning and Neural Network Application that must be done!! Overall course is designed in such a way that understandings of basics of Deep learning and Neural Net is in a vivid fashion. Thanks to the Instructor Andrew Ng and whole Coursera Team for such a wonderful course!

Very clear, very useful and simplified right where it can be simplified. If I had to point out something, I would say the assignments are a little too guided and maybe this doesn't help deep understanding of the mechanics to "practical guys" that privilege a hands-on approach to learning in general. Overall, great course anyway!

The course explains the concepts of deep-learning at an intuitive level and slowly delves into the mathematics behind it which really makes it easier to understand the motivation behind every step of the deep-learning process. Highly useful course if you want an overview of how deep learning works and why it is so much in trend.

Nice course which explains how neural networks work. It nicely shows how to create simple networks with Python and numpy. It has great examples and exercises which are much better than it was in previous course with Matlab/Octave.

Thank you Andrew Ng and everybody else who helped to create this course and supports it on Coursera!

The course design and assignment are consistent with each other. It not only helps a beginner avoid many unnecessary work, focusing on more relative knowledge, but also leave enough information for CS-like major to explore some other details. The course must take a lot of effort and heart of teaching teams to make this excellent

It's an excellent course with appropriate length of lectures, snippets on relevant math intuitions and programming assignments to gel the acquired the knowledge. I loved the course and progressed to next course in the specialization. This course help me understand the overview and details about Neural Networks and Deep Learning.

This is a wonderful course. It is really very simple. I would say for the backward propagation it is the hardest material part. It will be nice if it was a example of it before the assignment. I will suggest you look for a study group it really help. You will understand much better in a group. This course is very interesting .

Good and through explanation of deep learning concepts, very much enjoyed the coding exercises .

Although I am looking forward to the upcoming CNN and Sequence models courses, I would have loved it if Andrew could do further course on Unsupervised deep learning , and other concepts such as Deep Reinforcement Learning.

Many thanks.

This course was very useful. I have never experienced creating deep neural networks before and it was a great introduction. However, programming exercises were too easy: you just needed to implement the things written above a cell. It was not challenging at all. Maybe it is not a problem, but after c++ course I used to suffer:)

The content is good and very thoughtful. Quizzes are challenging.

It's much better if you can include 3 or 4 videos (30 min in total) about Python programming, it's data structures, parameter passing...etc.

Appreciate the course structure and evaluation method of programming assignments.

Thank you, Mr. Andew Ng and Coursera team.

I am so grateful that I had completed this course, consolidate my knowledge about deep learning, Andrew explain the logic and algorithms in detail which I always appreciate, Assignments now using Python and Jupyter Notebook which is the most popular ML languages, that is a big improvement compare to the Machine Learning course.

Great and gentle introduction! to DL! Enjoyed the practical assignments a lot!

Looking forward to more technical further courses in the specialization!

Great for beginners and people who want to start from scratch as well it is great for more experienced people as a recap or for gaining practical insights on this amazing field!

The homework is well designed and easy to follow that is helpful in learning neural networks from implementing it from scratch. Some videos might be redundant for one who has some experience with advanced machine learning techniques but you can always speed it up. Overall a great elementary neural network course for beginners.

Andrew Ng is such a great teacher in making concepts accessible to individuals who might not have advanced knowledge within the AI domain. Such a great job of breaking down programs in to mini problems to solve that allows the student to learn by doing and get an intimate understanding of the inner workings of Neural Networks.

I think I have learnt a lot about logistic regression, shallow and deep neural networks and after finishing this course I can tackle a lot of ML/DL algorithms and understand them perfectly. I thought a lot of calculus would have been involved in this course and it was in fact made easier to understand it, by Andrew. Thank you!

Very good and well-structured introduction to the neural networks. Even though the functions from the programming assignments might not be very useful in the real-life applications (because these functions have already been implemented in various packages), the assignments helped me to better understand the presented concepts.

A wonderful course. I expected the course to be sufficiently mathematical and it is. I am quite happy with that. I love the assignments. They really help crystallize the concepts. It would be better if the coursework also supported Java and some enterprise deep learning package like DL4J but it is fun coding in Python as well.

a lovely course, well presented by Pr. Ng with the same passion & curiosity we could find in the "Machine Learning" course. Don't forget it a nice introduction to NN topic and so it makes a quick overview of most technical aspects. For this kind of need, a set of relevant references would be nice to add in the "resource" part.

This is one of the best course on neural networks. Very beginner friendly, weekly assignments helped a lot to understand the concepts and applications of Deep Learning & Neural Network. One issue I've found is regarding the subtitles. Most of the subtitles are wrongly translated.. request the community to kindly look into it.

From this course, I learnt about deep L-layer neural network, and its forward & backward propagation.And how to get my matrix dimensions correctly which is helpful to build blocks of deep neural networks.Get a brief view in parameters and hyperparameters.Hope I can learn more about the neural networks in the following courses

This is a good course on understanding the intuition/math behind neural networks. Homeworks are done in Jupyter notebook with a very good structure showing step by step process. Although there are already many pre-written codes, the student will understand the step by step implementation of the model, which is very important.

The video lectures covered the theory and developed logic perfectly. The programming assignments were confidence-boosting and gave a practical point of view to Machine Learning. There should have been an additional lecture about caches, but other than that the course was perfect. After all its Andrew Ng we are talking about.

Love the structure of this course. Needless to say but Prof. Andrew has done an incredible job of teaching the course in a way that's fun to learn. I am more motivated to learn the intuitive nature of DL and be able to eventually abstract relevant real world problems as a DL problem to solve them. I am just getting started :)

I would like to thank Coursera from the bottom of my heart for providing me the opportunity to gain acknowledgment of Neural Networks and Deep Learning. Coursera provides financial aid to help students like me. This knowledge is going to help a lot in my career. Now I am going to take my B.Tech project based on Deep Learning.

The course is excellent. It covers all the basics a beginner needs to get into neural networks and deep learning. The math is covered and the logic is explained in a succinct manner. The assignments are just difficult enough to keep the learner thinking but not too complex to deter the learner. I highly recommend this course!