The course model is very very comprehensive and in-depth also. Exercises are typically designed to understand the theory.

The assignments are great. From a little coding background, I was able to understand what the assignments want to convey!

This course has been a very excellent introduction to deep learning concepts. Im so excited to complete the next courses.

Really good course. Very pedagogical exercises in Jupyter notebooks so that no local installations are needed. Well done!

great course. good learning outcome. there were some problems with submitting assignments but all in all it was excellent

course gives an understand of the structure of the DLL image classification model. More than that is a very basic course.

Andrew clearly explains the material step by step, giving you a solid understanding of Neural Networks and Deep Learning.

course are gread. One suggestion, can the ppt slides merge into one file? it is quite annoying to download it one by one.

Great primer on neural networks, learn backprop and other fundmental NN things by building NN's from scratch using numpy.

To switch from conventional Machine Learning to Deep Learning, this course is the foundation. Highly recommended course !

I want to know why we use the sigmoid function. I am always confused about how we got the formula to get the probability.

exceptionally great course....thank u so much for andrew ng sir and his team for wonderfull assignments and course work.

Excellent course to understand the finest details of neural networks. Much better than the course from "Machine Learning"

Have a basic idea of neural network and deep learning, and some programming experience of the image classifying project.

It's a great Course.Professor Andrew NG explains everything really easy.Learned a lot from this course.Thank you Coursera

Concise and straight to the point. The important concepts are repeated and explained well even in a short amount of time.

Very good on fundamentals on how neural nets work. The equations and notations really helped to understand the algorithm.

It was as I expected challenge enough to keep me on track and fairly complete. Andrew was very clear on his explanations.

Awesome step by step course to see the inner working of a deep neural network and hands on programming a NN from scratch!

Difficult concepts were explained very well, and programming assignments helped me understand core concepts being taught.

Those mathematical symbols looks quite scary before I took this course, not they have become my toys, pretty cool course.

Succinct and thorough at the same time.Very useful fundamentals. Especially when taken after the original 2011 ML course.

You don't need to question a material that Prof Andrew has put together. Thanks very much for such an amazing experience.

Great course to get your hands dirty with the practical side of Machine Learning as well as a good theoretical basis too.

Really deepened my understanding on neural networks, especially the part about backward propagation. Great course indeed!