This was one of the best courses i have ever done , and i am happy that i did it..It is very knowledgeable and the tutor for this course is also excellent.

I would highly recommend this course to everyone who wants to start studying into deep learning.

Great course! I would prefer that all the videos be perfect rather than having to read a note about how a small mistake was made in a few videos (but it didn't affect the quality of the videos in any substantial way, so it's not worth removing a star)

Thanks go to Andres Ng. Neural networks and deep learning gave me the immense opportunity to explore the world of supercomputing power and the new way of recognizing the thing. I will be using the skills acquired in this course in my doctoral career.

Hii, I think this course give us a view how to use a neural network also more importantly by using some libraries rather than tensorflow or keras.So, it makes the concept very much clear.No doubt, it is very much nice and interesting and eassy course.

This course is really helpful to understand the underlining structures and intuitions of neural networks.

It would be great if Andrew can also provide lecture notes after each week's content (the same one as he provided in the Machine Learning course)!

Best beginner's course on neural networks ever, taught by one of the greatest men in this field, divided into small, understandable lectures, challenging notebooks with ample support materials and great sets of quizzes. Couldn't ask for anything more.

I was longing to learn deep learning from Andrew NG and the course was helpful for me to get my fundamentals right and introduced me to the application.Now I can do better to understand my Final Year project and do a lot better. My sincere gratitude!!

This introductory course is so great I can't put it in words, everyone interested in Neural Networks must check this out, discussion forum is almost perfect, the support is outstanding, TAs are passionate and Python implementations are so instructive.

The course is good for beginners and experienced learners. It is not easy to complete the assignment and quiz as if we understand the concepts mathematically, i.e., formulae. It's good to update the refresh the knowledge for the experienced learners.

Great course by Prof Ng. I had taken his Machine Learning course a few years ago, so expected high standards of content and assignment preparation - I was not disappointed. Staff is very responsive and helpful in forums as well. I highly recommend it.

This course is awesome. It helped me in understanding neural network from scratch with mathematical intuitions. The assignments were added advantage of this course. They helped me in learning python implementation of various neural network algorithms.

Completing machine learning course prior to this course will be a good support to understand the concepts of this course. Programming assignments are structured with a good guidance and covering all the steps of building a neural network from scratch.

This is as good as it gets. I never thought this could be so easy to understand and implement. A courses true merit is in taking the complexity of the course and still achieving the desired results. This course does exactly that. DEFINITELY RECOMMEND.

Explicitly explain what is neural network and deep learning. Integrate mathematics and programming very well. You get more comprehensive understanding if you are comfortable with basic algebra and matrix calculation and have some experience in Python.

The course provided a full filling learning experience. I learnt a lot thanks to the concise and properly segmented video lectures with immediate hands-on practice. I am really really thankful to Coursera and deeplearning.ai for providing this course!

This course gives me a rough sketch of the neural network from the basic theoretical level. I believe that after the next four courses will make me more proficient in the use of neural networks, including advanced methods such as pooling layer in CNN.

I really enjoyed Andrew'Ng lessons, it is not extremely fast (especially on calculus) but very quickly you find yourself handling relatively non obvious matters like the n layer deep neuron networks in a very clean implementation, I really appreciated

As usual, the way the course is presented is astonishing. But, before attempting this course, you should first familiarize yourself with fundamentals of Python (by University of Michigan), and Machine Learning (by Professor Ng, Stanford University).

Very informative and thorough go through for the entire concepts. Sir Andrew, also keeps on informing about the market trends for choosing an option over another and why that option is possibly better. Really liked it and highly recommendable. Thanks.

Simply fascinated by the way Math/Calculus works. Even after solving derivatives by hand and implementing the logic in python, still, sometimes I have to mentally pinch myself to make sure that I am living in the reality. Great Job Deep Learning team!

Inspiring course. It is somehow a condensed version of the Machine Learning course by Andrew Ng with Python/Numpy as state-of-the-art tools. Hope that the following courses in this DL specialisation keeps on with the pace and TensorFlow gets its part.

I think this is a great next step from the original course. There is some overlap, but there was enough new for me to make it well worth the time and money. I love that it's in Python. Looking forward to the rest of the courses in this specialization.

This course gave me the strength to learn more about neural networks and deep learning. The basics of Neural Network and Deep Learning was explained in very systematic manner. This course is a great start for me to work on achieving my career goals.

Awesome course . Course Material's are just asesome. It took me several weeks to complete the course "Neural Networks and Deep Learning" and I think I understand these topics easily. Highly recommended for these who wanna be a deep learning enginner.

Amazing!! Very well explained from basics. Its different and unique pedagogy. While other programs start off directly using Tensorflow and Keras, Andrew goes through the basic intuition and helps develop the code using Numpy which clears the basics!!