Andrew is reallly good at explaining complex things in a very simple manner. I like that pace at which he goes, the clear, soft & crisp voice makes the learning quite intersesting. The interviews with the experts are a bonus. In short, for beginners in NN, this is the best course to go with.

I love the way Andrew teaches. He breaks hard concepts in a way that is really nice to digest. I did not feel fed up with the math like in usual deep learning classes. The math notation he chooses is the best. I wish I had this class in my grad studies...Thanks to coursera I could learn it.

Very impressive course that takes a beginner from the basics to an advance level. Takes the learner to a point where you not only know the background knowledge but also being able build a real world program .Moreover i really appreciate the "Coursera financial aid program" that helped a lot.

As an old retired engineer I did it on a small notebook during vacation and still had fun learning python and the main ideas of deep learning. It reminds me somehow on the old principles of identification in control theory.

But I am wondering that my own picture of a cat, was not recognized.

As always prof. Andrew never disappoints.

Great course for learning forward and backward propagation and building a neural network from scratch.

Also the code is in python and you get to learn how write code efficiently and using functions better.

Thanks a lot prof. Andrew and Team coursera. :)

It is an excellent introduction to he field of Deep Learning. The videos have tremendous information and I love the fact that they are heavy on math. The math has helped me understand a lot of the things happening in the background. I have enjoyed the course and look forward to the next one.

I thoroughly enjoyed taking up this course. This introduction to Neural networks is much more clearer and bottom-up than the one I saw with Machine Learning by Andrew. I hope I get to apply these cool concepts in the near future, as I build my data products for the greater good of the world.

Well-organized and clearly-presented material. There was an issue with errors in a bit of the starter code for the final programming exercise...but this actually provides more "real-world" experience. In general, highly recommended, particularly as a follow-up to the Machine Learning course.

Very good introduction to neural networks and deep neural networks. The assignments are very god standard. You need to spend time and patience to finish programming exercise. It will definitely sharpen your understanding and implementation skills. Million thanks to Andrew Ng for the course.

Un curso ideal para introducirse en el diseño de redes neuronales, aprendiendo los parámetros e hiperparámetros necesarios para entrenar una red neuronal. También enseñan a procesar imágenes para poder ser consumidas por la red neuronal.

Todo ello explicado de forma excepcional por Andrew Ng.

Amazing course. Great way get into the details of deep learning. Andrew Ng has amazing educational talents and can get you excited about deep learning. You will get to know not only the theory and practice in Python but you can also learn about peole who created deep learning as it is today.

Good introduction to neural networks for binary classification. Provides an intuitive grounding in the math involved and the techniques needed for a basic implementation. Proficient programmers with a grounding in linear algebra and calculus will find it straightforward and easy to follow.

Thanks Andrew Ng and Coursera for producing such an insightful material on neural networks basics and backpropagation. I was delighted to go through each video. As always, the style of delivery of Prof. Andrew is so lucid and crisp. Hats off! You made backpropagation so intuitive and simple.

Excellent course. I finally understand all the crazy math's behind Deep Learning. The programming assignments were really well done. My advice to anyone taking this course is to make sure your outputs are correct before proceeding to the next code cell. This will save you a ton of headaches.

Really nice course with ideal mix of theory and python programming.I enjoyed doing the programming assignments a lot,besides theoretical concepts like backprop, better expressive power of deep neural networks,need for random initialization etc..were introduced in a crisp and concise manner.

This course gave me such a deep level of understanding of the theory and concepts behind deep learning, along with the tips and tricks of applying those concepts. The math was fun and hard. The videos were easy to follow. The assignments made you think and learn. The quizzes were tough.

Excellent course for beginners for deep learning and neural networks. Anyone can understand this course without having a deeper knowledge on calculus or algebra. It's better to have additional programming exercises without the guiding statements to get much better experience on programming.

Great bottom-up explanation. I've not seen it in such a thoroughly thought-through way. It really satisfied every requirement I had for such a course.

Programming excercises have been a little too easy. It was mostly copy and paste. A tiny bit more demanding would have been better in my eyes

Great stuff. I have been doing work in Deep Learning for a couple years, but I usually do not come across many that really drill the importance of dimensionality checking. Also, backprop was done well. Pretty mathy, but not too mathy! I like the focus on caching too. Thanks Andrew and pals.

This is a world-class course by a world-class guru. Anybody who is seeking to get a knowledge of Deep Learning and/or Neural Networks then you just can;t skip this course. It gives a perspective of the problem which I don't think you can discover on your own or from any place else but this.

A good understanding of deep learning and how to build a deep neural net. The videos were clear though sometimes the superscripts/subscripts were hard to decipher. The programming assignments were very helpful. I hope that I can access and download them now that I have completed the course.

This is a high quality course which mainly focused on how to build Neural Networks and apply forward propagation and backward propagation to minimize the cost function and achieve the best prediction result, the assignment is very helpful and nice. I personally highly recommend this course.

This course will make one to gradually progress in their understanding of the Neural Networks and Deep Learning architecture. I'm sure by end of this course, you will feel confident in building your own Deep layered models to learn and train. Thanks for putting up this course for starters.

Andrew Ng is an excellent teacher. Students will leave the course with an understanding of the basic concepts behind neural networks (e.g., vectorization, forward propagation, backward propagation, gradient descent), and the ability to code their own neural net with multiple hidden layers.

Vidéos de qualités, des explications précises et claires et des exercices notés très intéressants. Parfait pour bien comprendre les notions essentielles du deep learning, ainsi que les calculs effectués par les réseaux de neurones (lorsque l'on a un background mathématiques un peu avancé).