Excellent course, giving a clear picture of the fundamental principles behind deep learning. Also includes enough practical elements to make the material stick.

Excellent review of neural net fundamentals. Professor Ng has refined his algorithms and presented them in Python (I first encountered them as Matlab scripts.)

I knew a lot already from the Machine Learning course, but I'm glad there is an update now. Jupyter as environment for the programming assignments is great BTW.

This was a great course. I love Andrew's style and thoroughness. Extremely well put together. Definitely a must for all those interested in machine learning.

This course is very fun and practical. I like the hands-on work professor Andrew Ng explained and we tried ourselves. The interviews are especially interesting.

A great introduction in neural nets! Looking forward to the continuation and can't wait to use the knowledge in practice. Best wishes and keep up the good work!

Andrew Ng is awesome, the way you speak, the curriculum constructed and soon . love that programming exercise in ipython notebook.

Looking forward to next course

The curriculam was awesome. Special thanks to the Instructor Mr. Andrew NG for clearing such a complex topic so easily. The course content was well structured.

This is a nice course for deep learning. I am studying deep learning as my elective subject at my final semester of my B.E degree. This course helped me a lot.

Every test was very clear, i.e. every code required specific input and output specs. And explanation of L-layer neural network and its notations was very nice.

excellent course with the basics of neural networks, I could learn to program a deep neural network without the use of libraries, step by step, it is so useful

A great course to introduce learners to the backstage of Neural Networks. It should also offer more mathematical rigor (optional) along with the other content.

Great Material, awesome presentation. Loved the coding assignments, a little less on Math, I would have preferred a more mathematical treatment of the subject.

materials are more than enough. exercises were tough but most of the graded functions were explained more than a learner needs. it made the assignments easier.

I couldn't be more grateful for this course. Andrew Ng is exceptionally good at explaining the difficult concepts of DL and makes the subject fun and exciting.

An amazing course on neural networks and deep learning even for beginners it's a very good course. Each and every topic is being explained briefly and clearly.

I love this course. The instructor explains each step in a very clear way and I can implement the algorithms step by step with instructions. Feels pretty well!

El curso es muy enriquecedor y tiene un ritmo adecuado de aprendizaje, incluso para aquellas personas que no tienen conocimientos profundos sobre programacion.

Excellent course. A little bit of a refresher if you've taken Andrew Ng's Machine Learning class, but the Python implementation makes it sincerely worthwhile.

I have some background in mathematics and python so it was very exciting to learn how NN actually works on a low level. Thank you very much for a great course.

This course helped me understand what all goes inside the neural networks. Especially the math part and the numpy implementation that makes it run much faster.

This course is amazing!!! Even the mathematical part is easy to understand. This course rescued my disastrous semester in my real life grad school, seriously!!

It's indeed a very well structured course. The buzz word "deep learning" appears no more buzzing now. It appears very simple now. Gained much confidence in it.

This course helps me to develop much deeper understanding in Deep Neural Network and gain practical skills like how to implement a Neural Network from scratch.

A concise course teaching to build deep neural networks from scratch without any special tools (besides NumPy). Really clarified a few important things for me!