Truly helpful course to onboard deep learning field. Content is well-organized, especially for the derivation and intuition to explain the formula. As an intro course, this is highly recommended for anyone interested in deep learning!

Excellent course :-) I am really happy with the way the course is delivered. I would really recommend to anyone that wants to learn Deep Learning. I would like to congratulate the lecturer who thrives in his knowledge transfer skills.

The programming exercises with Python were somewhat simple, and most of the code was pre-written. I feel if students write their own codes with little tips and guidance, the result will be better, and our understanding will be deeper.

This course helped me understand the basics of neural network. I already knew the most basic structure of neural network but this course helped me to understand the more details about how network works and how to perform computations.

Absolutely amazing course, I'm much more confident now. Even for those intimidated when you hear about math in Machine Learning or Deep Learning, this course will give a very good intuition behind the math without getting complicated.

Excellent course, it guides you from the simplest of neural networks to the complex ones. Really loved going through it. Other than state of the art teaching, the application part through assignment also helped to polish the concepts.

Very well-thought structure of the course with incremental complexity. I appreciated Andrew's relentless focus on making sure notation is well understood - this was instrumental in getting familiar with and absorbing all the concepts.

I am giving full stars because it's covers the foundations of deep learning. It really kicks off your learning process on Deep learning. I found the programming assignments very handy and quite useful. Take your time to complete them.

it is a good course to enhance knowledge on Deep learning in short span of time. handson after each topic was very helpful in writing codes and execution. Kindly create assignement and submit, rather than doing it in Notebook directly

Pretty detailed in terms of teaching the fundamentals of how a neural network works. The learning algorithm is broken down into steps, each step individually coached on, implemented and tested. Pretty good knowledge testing questions.

The way of teaching is helpful to understand the theory and make easy to implement it on coding. This course encourages me to solve problem parts by part. I definitely look forward to taking Andrew's courses and makes me more skilful.

Great class!

A basic knowledge of python is necessary.

Andrew Ng does not fear to dive in technical details, which makes the class sometimes difficult, but this permit a better understanding of the concepts that underpin deep learning.

Thanks for the course. I really enjoyed it.

(+)

Really excellent course. Well presented, enough details for beginners to get started without making videos unnecessarily long. Course resources are very good.

(-):

Assignments aren't graded.

Straight to the point, good balance of theory and practice with additional references given to explore further. Andrew is an extraordinary lecturer, a master on providing quick intuition and progressively build a deeper understanding.

After completing this course I have the confidence and understanding of Neural Networks which I would be lacking had I read thousands of articles on the subject. The assignments helped the learning and many thanks to Professor Andrew.

I have spent quite some time studying materials and watching videos to understand deep learning. I felt the explanation in this course is by far the best I have ever seen, Thanks to Andrew and team for coming up with such nice course.

I've learnt how to implement those things which i shouldn't have been able to, but because of the different kind of teaching methodology and jupyter notebooks, i have been able to do my assignments easily and cleared all my conncepts.

Extremely good presentation of the basics of Deep Learning. Prof. Ng and his team have put in a lot of hard work to deliver such an amazing course reachable to a massive audience and this is clearly seen in the course! Thank you Prof!

Dr. Ng is gifted for explaining at a conceptual level yet still presenting the math from multiple intuitive angles. This is my first Coursera course. I had to pay attention to be prepared for the quizes and the programing assignments.

Fundamentals of Neural network setup and implementation is covered in the best and most straight forward way possible! Assignments could have been more challenging, but they are essential for the step by step build up of the lectures.

As for a math guy, the content is a bit general, which, however, means that for most of the people, this course will be very appropriate. I don't think I have to mention how concrete and explicit Andrew's teaching is. It's really cool

Es un curso muy bueno, porque te exige y te ayuda a llevar a la practica lo aprendido, a profundizar más en los temas con cada quiz, y en la parte de programar en Python, hace que entiendas más los conceptos, es muy completo, gracias

Great quick course especially for those not too familiar with python, as it introduces numpy to python novices like myself. Fairly straightforward to use the matrix functions if you are already familiar with linear algebra and matlab

this is such an amazing course by Andrew Ng. I really like the way the course is structured and the concepts are very well explained. the assignments and exercises helped me apply the knowledge i learned to solve real world problems.

Before doing this course, I was afraid of Neural Networks. But now I understood the basics of it and got a confidence to dig more in this topic. Hopefully I can understand the research papers used these concepts in my working domain.