Brilliant! If one were to sincerely work through the derivations of both forward propagation and backward propagation as elucidated by Professor Andrew Ng in the class, one does come away with a good sense of what's happening under the hood.

The best course on Coursera. Dr.Ng is amazing, and I want to learn more from him. People who are interested in deep learning should take this course, very clear and accurate explanation about every theory and detail. Love the course so much!

Very good course. It goes through all the essential elements about Deep Learning with a good guidance and makes easy to understand all the process. Of course, having such an extense and detailed practical part is a key feature of the course.

It has been an amazing journey! I recommend this course for people who like challenges and who seek for simple and clear explanations for complicated tasks. This course has a very good structure, interesting lectures and inspiring exercises.

A brief and precise intro to deep learning , If you want more of concept than programming then this is the best course to go for. Andrew as always keeps rocking with a stunning course hoping to go for the second course of this specialization

This course has helped me clear a lot of misconceptions about neural networks and taught me a lot about deep learning and I am really thankful to Andrew for the same. I am more than excited to go for the next course under the specialization.

Great Course!!! I was able to complete in 1 week while still on free trial. I took a lot of handwritten notes and i will keep them with me as long as I'm working in this field. Thank you so much to the people at coursera and deeplearning.ai.

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.

It is a great course, thank you so much, I appreciate the scientific material and the financial aid you have provided, this has helped me a lot in my career. and I have not find any course material in the same topic better than this one yet

Excellent course! It offers a strong theoretical foundation complemented by practical activities, insightful interviews, and engaging lectures. This course not only deepened my understanding but also further fueled my interest in the field.

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.