It was an amazing experience for me. After completing this course, now I clearly understand how learning happens in a neural network. I have a clear picture of forward-propagation, back-propagation and parameter updating.

Compared to Andrew's ML course, this course provides a more comprehensive and simplified explanation of Neural Networks and the steps of the learning process.

This course has really explained all in details. I like jyputer notebooks, there everything is step by step, and you dont use some libraries as keras, you write your own functions and then connect them. As I am only 15 years old it was a bit hard for me to begin, but Andrew made it for me, I didnt even realize it. Thank you very much. Looking for courses to learn math from you

I found this course easy and exciting to learn. All the course materials are so well structured that if anyone has interest can surely grasp the ideas behind. Programming assignments are well guided. The best part is the instructor Mr. Ng himself has explained which section a learner may find little tough and put extra effort to make a clear picture of it. Highly recommended.

This was a fantastic course. Dr Ng explained the underlying maths and concepts extremely well, and the lectures were engaging.

The only recommendation I would make to the course staff is to add more 'in-lecture' quiz questions - we had them in Weeks 1 & 2, but not in 3 & 4. I found those very helpful for getting immediate feedback on whether I understood the material presented.

Very good course on Neural Networks and Deep Learning with various programming assignments using Python and Numpy, and which culminates with a programming assignment about building and training a deep L-layer Neural Network! The course also explains key notions such as forward propagation, back propagation, hidden layers, vectorization, random initialization, hyperparameters.

Very good course! The videos give a very clear explanation about the theory behind deep learning and the programming assignments give hands-on experience making me understand the theory better and making it eventually easier to apply deep learning by myself. I would recommend everyone that wants to start learning about deep learning to take this course, it was really helpful!

This is exactly what I was looking for. I have went down many rabbit holes trying to truly understand the inner workings of neural networks and was just not getting it. This is definitely not a rabbit hole and I now can move forward with confidence. It's like the fog has lifted. i am looking forward to the rest of the courses in the Deep Learning Specialization and beyond.

It's an outstanding course for the beginners who have just started deep learning. The instructor cleared each topic with lot of emphasizes and helped a lot for making the assignments done more accurately. The basic neural network formation and binary classification is quite clear for me now. Hopefully the next courses will be very useful like this. So looking forward to that.

Implementing weekly lectures from week 2 onwards provided a deep insight to all the theory and built confidence in me from a very early stage. The instructions in python notebook was crucial and supplemented the videos in a great manner. I look forward to experience the same throughout the remaining 4 courses. Thanks a lot for the effort made by everyone who built the course.

This is a challenging course. If you know calculus and have other programming experience, you can probably figure it out without Python expertise. If you know Python and machine learning, you can probably figure it out. If you do not know Python, Statistics, Machine Learning, or Pr-Calculus, you will probably need to do some prerequisites. I am really glad I took this course.

It was a great introductory course. I learned a lot. There were two helper functions provided in the week 4 programming exercises that I think I'd like to understand better, but maybe that would have been too much linear algebra for an intro course. That said, I really enjoyed it and look forward to course 2 in the specialization. Thank you for a great experience!! Tom

Assalam o Alaikum, I am from Pakistan and I am not good at picking up new concepts and also not so strong in Mathematics, but the way this course is designed is highly commendable. All you need to know is some basics of Python and NumPy Library too get started! (P.S: I completed the first specialization of this course in a week, though it was a 4-week course!)...JazakAllah!

Enrolling in this specialization was the best decision. Sir Andrew taught Logistic Regression, Neural Networks, Deep Neural Networks amazingly using Calculus and then taught how to optimize the code using Vectorization. The interviews in the course were also really helpful to know the work currently being done on Deep Neural Nets in the industry and were really motivational.

Very nice and deep course for Deep Learning. After finishing all the course videos and programming assignments, I have a great view of deep learning and a comprehensive basic knowledge about backward propagation as well as gradient descent using in deep learning. Thanks Prof. Ng and Coursera to provide such a platform to provide me such opportunity to learn deep learning. :)

This course was really the one of the best to start with NNs and even after many videos from other courses my backprop wasn't clear but after this course my both forward and backprop concepts are fully cleared .

I thanks to Andrew Sir for teaching and all others for the support

A special thanks to coursera for giving me the opportunity to take the course and fulfill my dream

It is always very informative with Andrew Ng course design. In depth math behind the algorithms helps one to have a good foundation and knowledge. With which can build up their respective domain knowledge. In fact I am more interested to do further calculus and math courses just to get to understand the methods better. Thank you for providing such a great structured program.

An excellent introduction to "Deep Learning" . It provides detailed instructions to get a good intuition of the concepts. It has a perfect blend of math and concepts to just get started. One of the topics that made me think was vectorization. Even though I knew Numpy's methods like matmul, dot - only now I could appreciate the difference. Thanks to this course and Andrew NG!

Very helpful. One suggestion though: it would be nice if Andrew would more explicitely state (and probably earlier) when he skips some math explanation - there were some steps wrt derivative of matrices where I did not understand how he got there until I realized that he just presented the formula and there was nothing I missed because it was not explained in detail anyways.

I'm so honored that I've taken this course, professor Andrew is phenomenal indeed on so many levels.

I kicked off my career in machine learning & deep learning just because his ability to ease a very growing yet complicated field.

Thanks professor Andrew, I'd like also to extend my thanks to Coursera team that has helped with facilities and etc... you are very well-organized.

This is the best deep learning course online. I took this course as a beginner with almost zero programming background, but Prof. Andrew Ng managed to explain everything so clearly. I especially like how he clearly communicated the intuitions about different algorithms and parameters. Very helpful course and a good thing to learn during this complicated stay-at-home period.

Comprehensive and informative. Starts off with the basics and builds up to where I had a much better understanding of neural networks after completing the course than going in. Also does a good job of providing mathematical justifications for everything presented. Was not too difficult but after completing the final project you realize that you have learned a decent amount.

Excellent course. Easy to follow the complex concepts with the intuition. You can't expect more than what this course author teaches. Well organized content, quiz challenges, assignment and a lot of help content. Though I don't hangout on forums that much, seems friendly, intelligent forum for those seek peer help. Overall it is a great course to learn the deep learning.ai.

Dr. Ng teaches not only the concepts behind deep learning but the implementations as well. The pace of the course and the mix of theory, math and practicality is optimal to get you up and running in the deep learning space in the shortest possible time. Now, if you'll pardon me, I have to update the software on my self-driving car - beep beep!

-George Roberts, Data Scientist

With this course, Andrew Ng gives a beautiful intuition of backpropagation, something that I felt was missing in the Machine Learning course. He has delivered on all the learning objectives that were laid down before I started the course. Also, I felt that the programming assignments taught me a lot about not just programming neural networks but also programming in general.

This course is very basic for new deep learning beginners who invest in the deep learning seriously. I can study some tips and tricks that are very useful when I programmed Python. I think these guidelines are valuable for me, which helps me to complete this course very quickly and easy-to-use in my other applications. Thank you so much for all of you for this first course.