Great course. Explanations are very elaborate and you can see they really try to explain even when this is something not so easy to understand. I really liked that.

Excelente curso!

Se abordan los contenidos en profundidad y al mismo tiempo de forma práctica, permitiendo a los estudiantes aplicar los conceptos desde el inicio.

I really like the comprehensiveness the course was going through. Although sometimes I felt a little too carried by the code I had to write in each GRADED Function.

Incredibly explained by Prof. Ng, and a great help from mentors to understand NN. I am really grateful to the team and Coursera for making learning so easy and Fun.

A great introduction to neural networks. You don't need to know much calculus going in but any pre-existing calculus knowledge will only help you get more out of it

I think this course is really qualified and instructive.

An extremely good course for anyone interested in Deep Learning.

Thanks to Adrew NG and DeepLearning.AI team.

It was very interesting and full of knownledge course. I especially want to thank Mr Andrew NG for his very clear explanations and instruction. Thank you very much.

Es un excelente curso de introducción al tema. Andrew sabe con mucha precisión lo que se requiere para empezar y la manera evolutiva de presentarlo. Muchas gracias.

Excellent course. I am delighted that I got to build my first neural network. I really love the content taught. Working out the calculus part is thoroughly worth it

I am from INDIA.I have never seen such a great mentor who always makes a hard topic so easy as if its nothing.Thanks to Andrew NG and his team for this great course

Amazing course. As expected from Andrew and his team. The course provides a great balance between theory and practice, and the assignments are beautifully designed.

At the beginning I knew nothing about neural networks. With the systematic and proper lectures I got a clear understanding about neural networks and deep learning.

Excellent balance between the fundamental math/theory of neural networks and practical application. Jupyter notebooks make completing the exercises very convenient.

Thanks to Andrew Ng and staff for helping me to build intuition on what deep learning is and inherent methods like feed forward, backward prop and gradient descent.

The assessment part is something which needs a little work in terms of proper grading and less ambiguity w.r.t outputs. Other than that, this is a fantastic course!

I would say, you can benefits most from taking this Specialization. Thanks for, Its best community in the world to spread the knowledge free of cost.Thanks Coursera

It was great to attend classes and learned much about the core concept and for the first time I got the best intuition about differentiation, Thanks for this course

Perfect course if your new to machine learning with no deep mathematical background. If you already work with neural networks, you should finish this in a day or 2.

It can be sound weird but I regularly get up 2 hours earlier now to study/follow this Specialization before work. No class excited and inspired me that much before!

This course was really helpful I never thought that I could build a model from scratch. Completing this course gave me a lot of insights about how everything works.

It was a really good course. I should have done many years ago, but still its never too late. It is motivating me to keep learning. Thank you, Coursera and Andre Ng

Great online course, much recommended. The assignments might be more difficult and challenging, that would lead to a better perception of the underlying principles.

I must say, I am quite amazed from the material of this course. I believe this is a great course that every Neural Network enthusiast must take.

Thank You Coursera.

This course gives a better clarity of mathematics behind Neural nets and the programming assignments are very good, upto the mark.Thanks for creating such contents.