Great course, I learned a lot. I had previously took Andrew Ng's Stanford Intro to Artificial Intelligence Coursera course and this was a great followup. I think it was easier to do this in Python (even though I'm new to Python) rather than in MatLab.

This is one of the best course I have taken and I can confidently recommend it to anyone. The theory well simplified for anyone to comprehend and the programming exercises and quizzes were awesome to aid comprehension. I look forward to the next course.

I learned more things than I though and just for that it's awesome. Often, when you pay for online courses, you learn less than expected. Here, it's the opposite. And thanks to Andrew Ng to speak slowly in this video for the non-native English speakers.

Very well designed course for people interested in Neural Networks and Deep Learning. The best parts are the assignments which explains you in practical how to achieve the theory learnt from sessions. I will definitely recommend this course to my peers.

Well paced, builds up and reinforces the course concepts so that by the end you have a solid understanding of the material. Does a great job of simplifying the maths but providing enough information for those so minded to work it through for themselves.

This introduction level course is extremely helpful to enhance your fundamental knowledge and skills in neural networks. It's easy to understand for people know nothing about NN, but also could be a quick review for experienced experts in deep learning.

Terrific course. Solid introduction to neural networks and deep learning.

The course is paced well with appropriate quizzes and programming assignments.

Programming assignments are well setup with ample notes and student forums to help with any problems.

I think it is a great course for beginners and it does help you to understand what's going behind the scenes of different activation functions, backpropagation etc. I would gladly recommend it to anyone who wants to start learning about neural networks.

This is the best introduction to neural nets you will find, I've done a few of them. By the end of the course you have built a python based neural net, including backprop, which can be applied to any number of layers and neurons. A great tool in itself.

The profundity of this course is achieved with breathtaking lightness. I really love the programming assignment, and at the same time, Andrew gives us some useful programming tips. Great course, if there is more mathematical proof that would be awesome!

The course is incredible, I found it difficult because of my difficulty with English, even reading the subtitles I had difficulty in abstracting the knowledge. However, I sought to complement my studies with courses in Portuguese and it was successful.

The course is really well-planned as an introduction to Deep Learning. The vexplanations of Andrew are the best, clear, straightforward and always saying what is advisable to remember and what are extra (but interesting) details. Totally recommendable.

Its been an incredible journey to complete - DeepLearning Specialization by attaining the series of all 5 top-notch courses. My special thanks to the Andrew Ng and his team for designing the best course for improving deeplearning skills. Thanks a lot!!

A perfect introduction to the world of Deep Learning. The course is the right mix of lectures, quizzes, and assignments. It is not so easy that one can just sail through the course and at the same time is not so tough that one cannot finish the course.

The course was clearly designed to understand forward propagation and backward propagation algorithm. The practice assignments helped us to implement the algorithm in code starting from scratch. Overall, a must to do to start in field of deep learning.

For understanding what actually goes on at the back end of Neural networks and not just assume it's magic this is a Top course. Only one suggestion would be to add an intro to Tensorflow after we completed implementation of Neural Networks by ourselves

Challenging, but doable given the structure. I would have preferred a lecture solely on neural network application example (real life) so I can continue to get motivation and understanding on how helpful learning this skill with be to me in the future.

Excellent course! Great teaching, logical topic sequencing, and very well prepared materials (Jupyter notebooks, tasks cadence, quality of the assignments).

I have already recommended this course to several friends.

BTW, great value for the money!

The course was amazing. I was close to giving up when I started week 2 but after one week being late. I decided to try again. The programming assignments will walk you through the problems. If you can read and have some intuition don't give up to soon.

It was an amazing experience! Loved how we went through the basics step by step and how the assignments were made for us to figure out little parts using concepts. This allowed to better grasp the concepts that are needed to work with Neural Networks.

This is the first Neural Networks course that I will subscribe to and find it easy to understand the algorithms. I enjoyed every aspect of this course, I will probably need to watch again and practise more to fully grasp this. I totally recommend!!!

I am very happy to deep dive into Neural Networks and Deep Learning course. Each and every mathematical explanation is well organized and obviously, it is for Andrew Ng. code practice has been set wisely for all newcomers. Thank you so much, Coursera.

This is the best course in the series. It manages to explain Feed Forward networks and backpropagation, which are not trivial concepts. The practical assignments are really the most valuable part - after doing them, I underestood the topic completely.

This is a high level course where you will learn a lot. But as said in one of the videos, learn the basic math first. This is an advanced course where you need some basic understanding first. But, so good this course. I have learned so much from this.

This is a fantastic course. I liked the way the instructor builds the learning curve from logistic regression through 1 hidden layer network to the deep L-layer. What you learnt in the previous model is reinforced in the later ones. Thanks to the team