An amazing course. If you want to get started with deep learning, this is the course! The concepts are easy to understand if you are familiar with derivatives and calculus. The programming assignments are well structured and explained.

I had to revisit this course after a year because the notations overwhelmed me at first. Now that I gave myself time to be patient with the course, I realize that this method of teaching Deep Learning is very effective. Amazing course.

O curso explora os conceitos de Machine Learning do básico e mostra a teoria e a prática de forma gradual e muito bem explicada. Eu, como iniciante em ML, gostei bastante do curso e foi muito importante para entender a base dessa área.

Great course, I really appreciate the educational focus. I believe learning the basic components before jumping into more elaborated deep learning libraries helps in the long term. I also found that choosing Python was very convenient.

This is a great course! A solid introduction to neural networks. The course assignments were especially helpful, learning how to complete the implementations from scratch. I also enjoyed the intuition Andrew provided in the lectures.

I was looking to learn to code in addition to the theory which i can get elsewhere,This course helped me just do that with easy to Navigate & Understand parallel of coding examples which go hand in hand with theory.Just what I needed!!

This is a perfect course (no jokes)!

I really like Andrew's videos, they are even more than understandable. Material is well structured, assignments are interesting! No useless info, just practicably applicable topics. Highly recommend!

This is a really good course to develop ground concepts of neural network. I've tried doing it with keras and it is really simple to made a deep NN with that but the intuition of what going on inside can give you an edge. Great course!

Great course, math is easy to follow, week 1-3 are a bit easy if you already know something about ML about week 4 is really nice where everything you build up together finally comes together in a beautiful symphony of machine learning.

Very good course to get started with Deep learning. Although the assignments are very easy, they are helpful to get the complete picture in a very short time. Thank so much Andrew Ng and team for your efforts and willingness to share.

This course let you understand the very basics of neural networks. I loved the mathematical explanation of backward propagation, if gave a really nice intuition and pointed me in the right direction to pursue a more formal explanation.

A very interesting and clear course for starting the understanding on deep learning. The videos are very comprehensive and the programing activities are very useful. Without a doubt it was the best course I've taken in deep learning!!!

This course was challenging to me - I took three months to complete it. But it was worth it- all the frustrations due to a new programming language and grasping the new concepts too. Prof. Ng is exceptionally gifted. He kept me going.

The course is exceptionally well designed, the hands-on part, i.e. assignments in particular. Use other deep learning material recommended in the forum to complement this course and make up the missing theoretical and mathematical bit.

Great introduction to idea of neural network theory for any person regardless of deep understanding of math behind it. Awesomely constructed assignments let you focus on checking equations being correct instead of fighting with Python.

The concepts are very well explained and later reinforced during assignments. Andrew does a great job in keeping the course simple by not delving into the derivations while still providing optional videos to cover math-heavy material.

This course was very useful and had alot of hidden information about Neural Networks. I find it better to understand and implement a simple neural network. I also learnt how to structure my mind and my code to do the required function

Great course. Good level of detail but assignments descriptions are too informative. It took a very short time to finish them. I'd rather less information on what should be coded given away. But overall it was a very very good course.

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.