It was very exciting to build my own DNN from scratch. The course made me (optionally) revisit university calculus and fill out gaps in my understanding. I did not realize that Machine learning will be so much fun! Thanks a lot to Prof. Andrew and team for this!

Amazing course for anyone who doesn't have much experience with NN, like me :) The programming assignments were so well-structured! They've just raised the bar of how neat and readable a code should be - the perfect example for guys who're just learning to code.

I gained a great deep comprehension of the basic knowledge of neural network and deep learning through this course and my python programming ability has been also improved a lot. So, I strongly recommend you to open the gate of AI by learning this course first.

A very nice and intuitive introduction to neural networks and deep learning. The conventions and notations used for the neural networks are carefully chosen and facilitates learning. I also obtained deeper intuition for the neural networks thanks to this course.

After completing Andrew Ng's Machine Learning course, this course felt like a natural extension. Loved this course too. Andrew Ng has again done a great job explaining the concepts. Thank you Coursera and Deeplearning.ai for coming up with this wonderful course.

I was very impressed at how well Andrew explained some difficult concepts. He was also really good at emphasizing which concepts were the most important. The videos are excellent and the assignments seemed to strike the right balance of difficult and achievable.

I've taken other deep learning courses, but Professor Ng's style of teaching is just excellent and hard to beat. The course is engaging and it's easy to grasp the core concepts. Knowledge of some Linear Algebra, derivatives, and Python skills is a pre-requisite.

without a doubt, it was one of great experiences of mine and sir andrew is his best delvering the most complicated things in the most simple manner possible. highly recommended to all the individulas that are interested in learning deep learning and its basics.

Great course! I prefer to go from the whole picture to details in programming assignments. meaning first write the entire model and then write the functions. this way the functions will have their meaning in the context of the model as the student defines them.

amazing course with exceptional teaching by prof. Andrew Ng. The practical exercise is very useful and helped me gain a lot of exposure in this area. Thank you Coursera for the deeplearning.ai specialization it helps a lot to build a career in machine learning.

Amazing Course the syllabus the content everything is just amazing content is easy to follow mentors are very helpful they provide other resources too if some concepts don't make sense , I had a lot of help received from discussion forums.

It is a great course !

Being a Mechanical Engineer, I felt this course was structured so beautifully that a guy like me from any engineering domain understands very well. I am very happy that this helped me to get a deep overview of the computational framework inside Neural Networks.

This course has provided me deep insight as to how deep neural networks work and how it can be implemented using the optimized vectorization technique. Till now one of the best material I've found on deep learning for beginners as well as intermediate learners!

very well made online course I think. It's like meeting with the real lecturer. It's just that the explanation of the video is too short for me. it would be better if the video duration is longer. However, overall, very satisfied with this first course, love it

This course is really good. Explanation of Andrew Ng is up-to the mark and excellent. I want other users to join the course and update your knowledge of Neural Networks and Deep Learning. Its really helpful with proper explanation and examples given by Andrew.

Many thanks for the course! It's very detailed, brings you step by step to building a deep neural network using numpy, Python and Jupiter notebooks. I especially appreciated the inspirational interviews with people who pioneered the neural network developments.

Excellent course. Andrew Ng explained in detail each and every thing and concepts were crystal clear in the end. However, autograder needs to provide better feedback in case of a problem. Moreover, it would be nice if the students are allowed to debug the code.

This course is absolutely amazing! Definitely will recommend to my friends who interested in Deep Learning! Prof. Andrew Ng explains the intuition perfectly, and I love the programming assignment, which guided me step by step to complete it! 5-star for sure!

Great course! It has the right balance between theory and programming exercises. The subject can be very technical and mathematical, but the instructor explains it in a way that makes it understandable even for those who do not have in-depth calculus knowledge.

Excellent way of teaching and art for making difficult things explained simply. Even provided higher classes math concepts, which helped me a lot in implementing that math in programming. I wish i could find time and complete this series of courses. Recommended

Reveals the fundamentals of Deep Learning in an intuitive and mathematically sound way. Major advances in Natural Language Processing are reviewed to the current state. The exercises contribute to understanding. On the same level as Andrew's Stanford ML course.

Very useful course. This course shows you the nuts and bolts of Deep Learning in excellent detail. I have taken other courses where they use a higher level (like Keras) and I did not get as much intuition as this course. Thanks Andrew and the other instructors!

Great intro! The instructor takes his time to explain the concepts multiple times so you are constantly refreshed. Also, the terms are consistent across all the lectures and assignments, and any changes are clearly stated. Im looking forward to the next course.

I am highly satisfied in talking this course. The mechanism of neural networks was explained in a progressive manner which enabled good understanding of the basics. Andrew's explanation of back propagation was simply awesome . Thank you for this great course!!

This course lays the foundation of the Neural Networks. It explains one of the most difficult to understand part of the Neural Networks: Backpropagation. This course is a must if you are interested in understanding the implementation details of Neural Networks,