Before I took this course, I thought deep learning would require intensive amount of math. Obviously, that's not true. I was able to follow the lectures and finish the assignments easily.

I

t

'

s the perfect balance between theory and practice to create a baseline knowledge for the NN and Deep Learning. Definitely, I will continue with the rest courses of this specialization.

I would recommend completing the "Machine Learning" course first before delving into this.

Otherwise, great introductory course where everything was laid out nicely and totally made sense!

Great course overall! Learned a ton.

Please give us some recommendations of interesting problems and some free, labeled dataset available online so that we could try things out ourselves.

C'est un très bon cous ça m'a vraiment aidé à bien comprendre la théorie derrière les réseaux de neurones . La façon comment le professeur Andrew Ng explique est géniale Je recommande !!

This is a great overview, but fairly superficial. I hope that future courses will build on this one. So giving 5 stars for now, but need to see the rest of the courses to know for sure.

Very thorough explanation and relatively easy assignments providing most of the required work. Should be easy even for beginners and will give you a deep understanding of neural networks.

Thank you for the course. Amazed at how Andrew Ng and team start by assuming near-zero prior knowledge and connect so well with such a diverse audience. Assignments were well crafted too.

Awesome course! Concepts are clearly explained and easy to follow. I recommend taking Andrew Ng's "Machine Learning" course before this, since it covers most of the basics in more detail.

Excellent course, both lectures and exercise materials are amazingly straightforward, clear and useful. I am already working on applying the skills I learned in my own professional field.

First took this course in 2016. Wow what an improvement you've made! Everything just clicks! Thanks you for keeping this course updated. Not stale in 2022! that's 18 WEB YEARS!

The course is well structured with focus on both concepts and hands on. I am thankful to Andrew Ng and team alongwith Coursera for making such a wonderful course. I highly recommend it.

As always perfect explanation from Andrew, thank you! Interesting Assigments, and almost the first time on Coursera done them without any issues, done them all from the first attempt :)

Awesome course for building yor own neural network and understanding the basic building blocks of a neural network, comprehensive exercises to polish your knowledge and solidify concepts

the course was very well organized by prof. Andrew Ng. Gained basic insight of neural networks and deep neural networks. This course could be suggested to every beginner in deep learning

It is an excellent blueprint for understanding the core AI Constructs of basic Neural Mechanics. It is like taking an neural engine apart seeing how it works and putting it back together

Fantastic Job Andrew.I really loved your course.I started course with zero knowledge on NN ,now I gained complete NN background and I can implement my own NN right from scratch.

Thank you

Perfect for beginners with basic knowledge of algebra and calculus. Andrew NG is hands down one of the best educators I've come across and he explains the relevant math in a neat manner.

This course was very simple to understand and the assignments provided with deep insight into the practical implementations of classical algorithms without using deep learning libraries.

Really intuitive course, which gives you a deep understanding and fundamentals that u need to implement a neural network.Very well balanced between projects and assignments and lectures.

That was an irreplaceable opportunity for me to expand my knowledge in Neural Network algorithms.I'm really excited to finish the other four courses presented by Dr. Andrew and his team.

The course was taught really well. One gets a good intuition about how neural networking works. The assignments are very comprehensive and serves to better understand the concept taught.

Gained a clear intuition of all the steps required to develop an artificial neural network. The assignments give basic practice and solidify the concepts. Great explanation by Andrew NG.

Very easy to understand and follow. I guess some students will be confused by index of 'l' (lowercase L) in `reverse(range(L-1))` as it's not actual current layer, but current layer - 1.

Thanks a lot Coursera! I have done a number of courses to learn about practical aspects of Deep Learning. I finally found it. I will admit that the course ain't easy but it was worth it.