Simple but useful. However, I really need a class and especially homework to teach me how to derive back-propagation algorithm, which is important for job interviews of machine learning/data mining/data science in China

The teaching of this course was very clear, and the coding parts took you by the hand and focused you on the core concepts without making you struggle too much with debugging. I'm surprised at how accessible they made it.

It is awesome how Andrew breaks it down into basic steps so you can understand the process and build the neural networks on your own without importing tensorflow or any related library, I am excited for the next course.

The combination of the hands-on exercises will provide a wholistic learning experience. The professor is well spoken, supportive, and understands how to communicate to those outside of the ML field. Well worth your time!

Such an excellent course to learn Deep Learning. Andrew Ng is an incredible teacher, making this "complicated" domain looks very easy. I am looking forward to pass the other courses. Thank you very much for all the work!

In total - a great way to get into the field, though I have started Andrew's ML course in parallel and it gave a better background. During the course I thought there was place for more "optional" mathematical background.

It is a course which gave me a step by step guideline to learn the concept of deep learning with hands-on projects which enhanced my intuition about the contents of the course. Thank you for offering such a great course.

The course is perfectly designed to provide practical knowledge of programming and applying the concepts and also makes it easier to understand the basics and fundamentals of the computation happening behind the program.

If you are looking for a starting point to begin your journey of deep learning I will strongly recommend this course. Although it is mostly theoretical but programming exercise give you a chance to try your coding skills

i have done tensorflow courses earlier. but to be able to implement deep NNs without using external frameworks was impossible for me, until i discovered this course. great explanation and quality questions + assignments.

Prof. Andrew has proven that no one can teach Deep Learning better than him. The way is build upon simple concepts and implements them is assignment is what gives the learner confidence in the practicality of the theory.

it's a very interesting training course, full of guides, the professor is an incredible knowledgeable man, the interview is such as as the presentation course, all things are soooo nice, see you in the next course 2 of 5

The best course to take up while starting of with deep learning . The instructor has structured the course were well , not just giving us only the overview of the concepts, but really builds up a very in depth intuition.

The course was plenty helpful even for me, not knowing a single word about NN. The instructor is really good and accompanied by quizzes and assignments you will a get picture of how NN works. Thank you very MUCH Coursera

Andrew did a great job of being clear with his explanations without sacrificing the pace of the course. If your goal is to progress swiftly with your learning and acquire understanding/intuition, this is the one to take.

Excellent course by Andrew N.G . It explains in detail how to build logistic regression and a convolutional neural network with two and more than two layers. Overall an excellent course to get started with deep learning.

I feel much more confident about my skills after completing this course. All the topics are explained in very simply language and that helped me staying focused. Plus, "Heroes of Deep Learning" section kept me motivated.

A great theoretical walk-through of the key concepts behind neural networks. The programming exercises also help further cement the understanding you get from the videos. By far best course on neural networks I've found.

Excellent course to get a clear understanding on what "Deep" learning is, how it compare to "Shallow" learning . Also how Neural Networks and Deep Learning relate. Also as always Dr. Andrew Ng is THE best at teaching ^_^

Finally, after getting confused by text-based literature for a long time, I understand what a deep neural network does from here. Thanks, thanks very much!! Prof Andrew's lecture is really informative and understandable.

learn from scratch how to code in numpy an L-layer neural network (the proposed code has a well organized structured)

understand forward and backward propagation (from coding point of view)

learn some useful best practices

Excellent content. Concepts like backpropagation, importance of vectorization, dimensional equality of vectors were taught in the most simple and easy to understand way. The difficulty level was also gradually increased.

The programming prictice is wonderful, I learn a lot of new methods and thoughts about machine learning and programming.idea-model iteration, symmetry breaking and vectorization etc. leaves a very deep impression for me.

Amazing course. It really enthused in me a deep interest and liking for deep learning. I am thankful to coursera from bottom of my heart for accepting my financial aid plea and granting me free enrollment for the course.

Great course to deeply understand the basic processes behind all DL algorithms. I would recommend it to those who want to get a deep understanding of the main building blocks required in a neural network-based algorithm.