The course has sufficient workload to keep a novice programmer (like me) engaged. It's not too dense and not too light. The mentors are active in the discussion forum (which is a key point) and they help you get through the course with ease.

Very good introduction and foundation for Deep Learning.

The programming exercises are too easy in my opinion, because you only have to fill in some lines.

The focus of this course is not programming. It's more about how Neural Networks works.

It is a very well curate course course to step into the field of deep learning with good hands on exercises. The professor addresses basic but very useful details with great simplicity that helps a lot in learning and retaining the concepts.

This course is really good for the people who wants to learn deep learning from basic.

This really helped me to get a start in deep learning.All the excercise are very well designed and easy to understand and implement.

thanks for this course

I like Andrew Ng's teaching style! I learned a lot from his lectures. The most precious thing is that he is willing to share what he has known with people all over the world. I wish his autonomous car business in Texas to be a great success!

Great course, Andrew Ng is just the best teacher for NN and machine learning. Assignments and quiz too easy, probably i will struggle on the implementing it on my own. But is common to MOOC so definitely the best deep learning MOOC out there

Excellent introduction to Deep Learning. Andrew's didactic approach allows everyone to get to know the topic. Just two ideas how to improve this course: I would find it helpful if I could download lecture slides and access written summaries.

Great introduction to Neural Networks with well balanced theory and practice. Although quite complex in places (i.e. back-propagation derivatives) it is well explained and thoughtfully laid out to build on the concepts learnt. Great course!

Excellent course. I learnt to establish a deep network from scratch. This is a good learning method to have a deep understanding of the principle of DNNs. This also helps us to know how to use high level tools such as tensorflow and pytorch.

I really enjoyed this excellent course. This introduction to deep learning is very well-structured with practicing developing modular Python NN code by reusing building blocks. Prof. Andrew Ng teaching style is second to none. Many thanks!

Best Course on Neural Networks, the topics are structured so well, it's possible to understand and implement a neural network from scratch during a weekend!! Andrew doesn't drown you in lots of unnecessary details and focuses on the essence.

I did the Machine Learning Spec back in 2018 and all the coding parts were with MatLab... it's great that now everything is done with Python. The content of the course is clear and detailed at the same time. Great course as usual! Thanks :)

A fantastic introduction to Deep Learning. The instructor does a great job at introducing the concepts little by little, letting you implement the main concepts of deep learning, while not throwing you into the entire code set from scratch.

I was into machine learning and I didn't understood well how a neural network worked and what were the differences between NN and ML, this course opened my eyes and now I feel confident about how an L-layer Neural Network works from behind.

I never thought I could build a deep NN ground up without the help of built-in libraries. Surely helped my intuition and understanding the key concepts really well. Thanks a lot Andrew for explaining things with so much attention to detail.

This course gives you the understanding of the frameworks for Deep Neural Networks (DNN), and shows the disadvantages of using them. The course does this by giving a perspective the DNN's do a good job, but they have some downfalls as well.

This is an excellent course with a good balance between theory, examples, and assignments. I'm very new to this field, but I feel more equipped now to understand some of the jargon and ideas behind deep learning. Thank you, Andrew and team!

Professor Andrew Ng is a legend! I understood Forward and Backward propagation well now.

There is a lot of drama out there - linking Neural Nets with Brain - This is really not appropriate and Professor clearly explained the concepts. Thanks

Learning how to train and test a simple neural network in python can be done using Tensorflow, Keras, etc. But the fact that in this course we learnt this using pure python was, in my opinion, the best part of the course. Thanks, everybody!

Andrew is a really awesome teacher that walks you through all the details of the theories. He also provides heaps of intuitions to help you understand the model from an easy angle. Don't be intimidated by the math and start this course now!

Very good course to get started using deep learning and remember this course is just to give an understanding of a simple deep neural network which is essential and all the assignments are practical and you can start using them in real life

I'd highly recommend this or the vanilla ML course with Andrew Ng. There is a bit of a math hump to get through before it all starts to make sense. I'd recommend repeating the math in the lectures until the each variable becomes 2nd nature.

Professor Andrew Ng is Awesome person. I never loss my interest in the course. This course is very well ordered. I never find any of the assignment too difficult after watching the lecture videos. I really thank him for making this course.

Explains well the basic concepts of neural network and deep learning. Since the assignments' codes provide already a clear data set, you won't get to learn how to set up your train set, test set, etc which I personally think is fundamental.

Thanks to all authors for the course! The material is easy to understand even without any serious skills. After the course I got very good understanding of Deep Learning basics and I'm loking forward for the next course to get more details.