Absolutely fantastic introduction to deep learning. I'd recommend taking Mathematics for Machine Learning by Imperial College London first.

Excellent starting point for those who wish to learn about deep learning. And good revision for those who know about already deep learning.

Needs linear algebra and a bit of calculus background to understand concepts. Videos and exercises are very good in constructing knowledge.

Simply awesome. All concepts are thoroughly explained so that it easy to see what is happening in mysterious and complex neural networks.

very good introduction of deep learning and neural network, which i gain enough knowledge to understand the algorithm behind neural network

Cours exceptionnel, très universitaire donc absolument parfaite et faite pour une excellent compréhension. Merci à Andrew Ng et son équipe.

This course is very good and useful for me, i reviewed the learned knowledge from this first part of this class. Thanks for the instructor!

Pretty intuitive and friendly to beginners!

A great choice for newbies who are ready to learn about DL and also helpful for experienced one!

very good course to learn deep learning, it is not very theoretic, however, more from an engineering approach. I would definitely recommend

Excellent course, highly recommended for those who intend to understand the practices and fundamentals of neural networks and deep learning

Very interesting and informative course. Andrew Ng is very encouraging teacher.

I'll try to go through all 5 courses of this specialization

Great course on Neural Networks. ipython notebooks is a great way to learn - immediate feedback on each function as you are completing it.

Brilliant! Andrew explained the concepts very well, and always gave the answer of "why". You don't have to be lost in gigantic mathematics.

Very clear explanations in video and programming exercises. Concise. Fun and well setup programming exercises. Great! I have learned a lot.

This is a very useful and easy to understand course. Although I think most content is very similar to the previous Machine Learning course.

An outstanding course with solid material and coding exercises that will definitely broaden your experience in the deep learning universe.

A very nice course indeed. I enjoyed a nice combination of very detailed and math-rich assignments together with rather easy applications.

One of the best online course (and also trainer) that I have ever taken. Now, I know the math behind Neural Networks thanks to Andrew Ng.

Super useful even if you are not completely familiar with Python. Pragmatic and updated, one great step to start with AI or Deep Learning.

As always, very didactif and great learning experience. Quite easy to follow if you already passed "Machine Learning" course by Andrew Ng.

Great course for high-level understanding of deep NNs and for building intuitions on how to come at a problem of building one with python.

Motivating as ever.

Got the head start for my neural network journey.

Thanks for doing all the hard work and sharing this wonderful course!

Every thing was excellent. I really appreciate Professor Andrew Ng and his team.

Thanks to Coursera for providing such a good opportunity.

Substantial theory behind neural networks explained in a very lucid language by one of the best teachers I have ever met, Prof. Andrew Ng.

The programming assignments are a good way to understand the the actual concept behind the topics.it is really very helpful for students