The way Andrew Ng has taught this course purely shows that he's the guru of Machine Learning. His plain and simple explanation that the brain and deep learning are different shows me his true ambitions and desire. Awesome way of explaining the formulas, i have completely memorised it

A well paced introduction to neural networks. It doesn't shy away from technical details which really lets you understand what is going on, and why Neural Networks to what they do. The programming exercises guide you through tricky problems to give you a real sense of accomplishment.

This course forced me to pay attention and absorb the concepts. But it was easy in the right ways to get me to a meaningful result without the tedium of programming syntax headaches. I feel like I have the tools to begin to tinker with designing a neural net for visual recognition.

It's a great experience overall. In this course i have learnt the systematic way to develop neural networks from scratch using python. The math behind the neural networks was clearly explained. It's awesome that i can develop L-layered neural networks from scratch now on. Hurray!! :)

This is a well-structured course which gives us a brief and effective explanation of the Neural Networks and Deep Learning. The lectures are short and user-friendly. The course exercises are quite simple. Please pay attention to the explanations given by Andrew in the video lectures.

A great entrance to the world of deep learning. I did not learn anything about deep learning or python programming, but Andrew makes everything so clear and the assignments, from my perspective, are designed to keep us focused on the core ideas. This course satisfied my expectations.

Concretely, Andrew keeps his genius way of teaching (although he didn't say concretely that often now). The usage of jupyter notebook also makes learning more practical. I will keep following Andrew and I hope his idea that the AI is the electricity of the new world will become true!

Excellent course, in which the major concepts of neural networks and deep learning are broken down in a subset of concepts easy to understand. The course offers an agile way to learn and practice with the taught topics. The best coursera course so far, and it is only the first one..

The course starts with explaining about how Neural Network help solved complex problems and get more better accuracy for your ML application. I found the explanation, pace and assessments to be of good value. Highly recommend this course for Neural Network & Deep Learning beginners.

There are a plethora of courses, blogs, articles on internet on Neural Networks and Deep Learning in general but nothing can make their understanding as intuitive and simple as done by Prof. Andrew Ng and his team at Coursera. No wonder why this course is hugely popular on internet.

wonderful, amazing

Pr. Andrew Ng is very clear and make the abstract concepts simple

Thanks also to the mentors which feedbacks are very useful

Moreover quizz and programs are accurate

They focus on the methodology and the comprehension of the big picture or some very important details

This is a really good introduction to machine learning without being too deep on the maths. After learning this course, the math notations and symbols in the book Deep Learning from Ian Goodfellow, Yoshua Bengio, and Aaron Courville start to make a lot of sense! Thank you Andrew Ng.

this course gives a good insight in deep neural networks. a very specific thing that I liked about the course is the "cache" - if you've taken it you'll know why else take the course (personal recommendation) & know about it - you will not only learn to code but also to code NEATLY!

The course is great and interesting. The video lectures are easy to grasp hard concepts and have great quality. The programming exercises are also great but a little too easy with the hints provided. Only suggestion I have is to include a more in detail video of logistic regression.

Always wonder how deep/ neural networks works, this course has built the intuition for neural networks and solving programming assignments helped to build a strong foundation for advanced deep neural networks. Looking forward to learning more about the deep learning models this way.

Very exciting, sir Andrew ng went through the calculus which was a bit difficult for me, but where he had a separate video (for specific topics) about a intuitive approach about a topic made a lot of concepts clear. Thank you coursera and my college for hosting and sponsoring this.

I started doing this course because I started doing Machine Learning course taken by Sir Andrew Ng and as good as it was but still I wasn't completely satisfied with the topic neural networks as it sounded very interesting and once after doing this course it gave me a great insight.

As a data scientist who has used neural networks before (with abstracted packages like tensorflow), this was a wonderful introduction to the math behind the back propagation algorithm and the intuition I need to better use neural networks in practice. Can't wait for the next course!

Thanks a lot, sir, you were amazing I love your teaching way, all the topics were explained in details I never felt that I was learning I was just like a movie, and enjoyed very much during the whole course, the course slides was much detailed and you explained well. Thank you, sir.

The best course ever. I am highly impressed with the way Andrew Sir teaches and the depth of the topic, that he explains. You will never be left with a question unanswered. I am grateful to you sir, it made my life. Looking forward to complete the rest of the specialization courses.

The course materials are very well organized. It helps the new person in ML can easily keep track of the main concept. These exercises have the very good hints, the students without a good coding background about python or numpy still can finish the exercise with full understanding.

An excellent introduction to neural networks and deep learning that is taught comprehensively - a course that covers a lot of material, enables you to reinforce your learning with practical hands-on coding projects and offers points and challenges for further reading and engagement.

It is really easy to understand the concepts given in the videos, since it does not require heavy mathematical fundamental. However, the materials does not explain a lot of deeper reasons of some concepts, like the math, because it would be too much to dig to reveal all the details.

Repeatedly explained basic concept in depth!! with super helpful programming assignments, It is heavily hand-held, but it is necessary for beginner to understand and get the concept right. The only course that really makes me feel that i understand how NN work from the ground up!!

Andrew Ng does it again. His course is very interactive and captivating. I have taken other courses where the professors just show slides and assumes that the student will go and research all that is being said in the slides. But, Andrew is really good in teaching the core concepts.