I really enjoy this course. Andrew has a great talent explaining the science of deep learning in a structured and easy to understand format. I would highly recommend this course.

Concepts and algorithms are clearly explained.

Assignments are well designed and helpful.

Interviews are insightful.

Successfully pretends to be apprehensible to high school students.

the only mooc that has to be completed by flying colors in remaining of 2017. excellent explanation even for those who didnt attend the Previous Mooc of Prof Andrew Ng. Keep it up

Everything created by Andrew Ng is top notch! Coursera, his Machine Learning MOOC, this Deep Learning Specialization, I don't know but I've heard autonomous helicopters & so forth!

Highly practical, and very exciting course. Professor Andrew Ng covers the theory and understanding of deep learning AI so well that it feels more like entertainment than learning.

Andrew Ng is the best professor ever. His teaching is exceptional. He communicates ideas effectively and easily. This is a great introductory course for ever background knowledge.

I enjoyed this course thoroughly. Videos are short and easy to understand. Hats off to teaching skills of Andrew Ng. Programming exercises give good confidence on learnt concepts.

Yet another great course that helps internalize the concepts. It builds upon the ML specialization course really well. I was able to quickly implement the programming assignments.

It's an excellent course. Very clear explanations, the material is top level. The quizzes level was in accordance to the course. And the programming task where really entretening

Simply teaches the main idea behind neural networks...if you have some background in programming and statistical inference, it takes you less than a week to complete the course!

I love the videos and explainations. Way better than online learning by professors who dont give much thought in teaching. I recommend this course in learning about deep learning.

Splendid course. Now I know how the build blocks of a neural network works, with just enough math underlying. Highly recommended for guys who has learnt calculus, linear algebra.

The course cant get any better and the coding assignments are also perfect for someone like me who is totally new to deep learning. 10/10 for Andrew's teaching methods. Nice work.

I personally found the course very interesting and to the point. The programming exercises were neither too difficult nor too easy. The content was concise and had very few errors

The course is wonderful and covers plenty of basics. I just hope that the assignments provide more options to help self-troubleshooting and a model answer available after passing.

After taking Professor Ng's "Machine Learning" course, this specialization seemed like the best option to further develop my skills in this area. I'm glad that I took this course.

Brilliant course.

Rightly paced covered lots of topics and helped build important intuitions about neural networks. Proff N.G Andrews is one of the best teachers I have come across

I came here to learn the basics of neural networks and I actually did. The quizzes were soo good and solved my purpose of checking my understanding level. Overall excellent course

Very thorough both in terms of theoretical knowledge and coding practice, I was able to fortify and deepen my understanding of Deep Neural Network. You did a great job, thank you!

Very specific to the topic, started from basic. Learned quite a lot about matrixes during the course. And now have a much better understanding of how feed forward computes result.

superb experience but it would be more good if we could have coded everything. Thank you very much for this organizing this course in such a beautiful way it gives all the basics.

Amazing Course, got a deep understanding of all that is happening when we train neural networks in a simplified way. I feel fortunate to have landed on this course. Thanks a lot!!

Really insightful, thank you! It would be great to have supplementary material on the in-depth matrix calculus of the back-propagation derivation. I'm doing it myself as practice.

The best course for a head start in deep learning! It is recommended to complete the ML course before starting this course, to have a better understanding of this technique in ML.

Very useful for a starter. If you know algebra better, then you might be able to skip some materials. It's very clear. Also, the python practice helps me gradually take on python.