This course is much effective and helpful with numpy and awesome than previous Machine Learning Course by Andrew Ng. Thanks, Andrew Ng professor.

Very good balane and compromise between theoretical and practical part. Thus I learned a lot very quickly. This is exactly what I was looking for!

Basics are very essential and that's the reason this course is amongst the top. Having Andrew as a mentor and teacher is always a great privilege.

This course is yet another masterpieces of Andrew Ng. This course gave me useful insights and laid the foundations of deep learning for my career.

Andrew Ng always make difficult concepts easy to grasp. The coding exercises really helped solidify the concepts to programs that actually work.

Very interesting and well done, a very nice pace, might have even been a bit too easy. But I am looking forward to the rest of the specialization!

This course was quite useful for me. I could recognize basic concept better than any books. Programming assignments are helpful for understanding.

Very structured and informative course. I gained a good intuition and understanding of deep learning after completing this course.

Thanks,

Prashanth

a great course. the structure is really good. in small steps you get to know a lot of things about NN. I'm looking forward to see the next courses

it was very easy to follow and complete the programming assignments. some assignments were too simple and dumbed down, could make it less obvious.

Great course, so detailed notes and course material which let me understand how Nerual Networks wokr and the basic principle behind Deep learning.

This was an excellent introductory course for Deep Learning, It provided excellent guidance on the theoretical level as well as the implementation

It's a great class and I learned a lot from the assignment and the video. Hope we can get more practice or project which is really helpful! Thanks

Very good refresher for the previous ML course and not so confusing notations. Intuitive explanation for most math equations/concepts helps a lot.

An excellent course, which starts from first principles and quickly builds to something useful. The Python jupyter notebooks are well thought out!

The course is great! After watching the video and doing the exercise, you will have better understanding of the neural networks and deep learning.

Very good course. First one from early 2010s was a bit better in terms of provided intuition. But this one is a great addition to the old course.

This course helped me to built a practical and applied knowledge in deep learning. The mathematical concept of is cleared by the lucid lectures.

This course introduce a significant beginning in the area of deep learning and AI for people who is not familiar with calculus and linear Algebra

The course focuses on the true maths behind Deep Learning, so that you can understand what happens under the hood of common modules and libraries

The explanations were very clear and easy to follow. The assignments were easy to follow after the explanations, and also interesting and useful.

The programming assignments are really good and helps one understand what is learnt in the course. Concepts are very well explained in the video

Pretty well structured course;

-> much more explained than the previous Stanford Online "Machine Learning"

-> Good introduction to Python as well!

I can safely say that I understand the course and the mathematics underlying the operations, but the hidden layers seem magical in how they work.

I feel like implementing a deep neural network in my mind when he is teaching and did it on the practice without hitting my head against the wall