Congratulations to Doctor Andrew Ng and his colleagues for this course that is well-designed and is an excellent induction to Deep Learning. The exemples give a good idea of the power of DL for just a few hours of programming. The course really motivates me to learn further.

I am greatly thankful for this course, It led me into the foundation of deep learning, It is so charming! Thanks for the Coursera platform and every teachers who contributed your effort to the course, I'd like to give all of you my highest respect and wish you alll the best.

The way andrew explains everything makes it so easy for anyone to grasp whats happening and the programming assignments are also structured brilliantly so that you have to spend time only on implementing the required stuff and after that you can easily figure out the rest .

It was an excellent course, before joining this course I wanted to understand everything about neural networks how the weights are assigned and calculated, how forward propagation and backward propagation works, after joining this course I got a clear idea.

Thanks to mentors!

Good course, similar to the first few chapters of the other course Andrew Ng teaches. Good basics, though won't be unfamiliar to those who have already done the other course. Though there are several differences in terms of notation and variables, but nothing to worry about!

I have been working on deep learning project since past one year without fully understanding the foundation. This course and other specializations cleared most of my doubts. Also, I can understand the mathematical formula very easily now. Thanks Andrew for this great course.

Superb!Extremely well thought out and implemented.Also, really appreciate the interviews also with Geoffrey Hinton, Pieter Abbeel, and Ian Goodfellow.One reason Andrew Ng is the most sought after teacher on the planet, is his naturally respectful nature and great enthusiasm.

This course is perfect for anyone new to Neural Networks: Great lectures, fully equipment,... But i strongly recommend that participants need have a pre-knowledge in basic Machine Learning and Python Programming, some examples/steps in the assignment may make you be confuse.

It is an excellent course with good exercise. After finishing, you can learn how to make the Deep neural network by yourself and understand the forward & back forward propagation. The learning experience is like a wonderful journey, showing you how to build tower from sand.

Great for fundamentals behind machine learning. Andrew's teaching style totally justifies the fan following he has. I love the heroes section videos as well. Gives a lot of insight into the history behind AI/ML/DL. Looking forward to the next course in this specialization !

A very fundamental course for absolute beginners. I think who wants to really dive into the deep learning era this course is the best platform to start your journey. Thank you Course era for letting me do this course and special thanks to Andrew Ng. You are a great teacher.

I did the previous course on "Machine Learning by Stanford University on Coursera" also presented by Andrew. This is a great follow-up course and I look forward to delving even further in areas not covered in the previous course in the associated courses in this speciality.

Great course! Mathematical basics and practical aspects well explained. Very nice Python exercises that allow to learn the whole process. Maybe a possible improvement could be additional, a bit harder tasks that require more self work rather than following the instructions.

Complex learning made simple via this platform. Love NN, RNN, back/forward prop etc., concepts with clear explanation and practicals. I would recommend ML folks & new-bees take deep NN learning course....personally will try publish an article / contribute to git. Thank you!

Was accustomed to the learning paradigm setup of ANG from Machine Learning course. Lots of improvement in coursera from 2 years ago. Happy to be picking up some Python along the way.

Quality of content - 100/100

Instructors - 100/100

Focus on Learner's Learning Rate - 100/100

The notebook is constructed in a clear manner to follow. It's really proud to implement your own NN algorithms and it does bring in confidence in you when you're facing such an advanced topic. Although I think you will need extra readings to better understand the math part.

This is a fantastic introduction into deep neural network. Dr. Ng provides teaches in a way that provides a decent amount of mathematical and geometric understanding as well as general intuitions about why/how each step of the basic fully-connected neural network functions.

Has great clarity. Notation is much better than in the Machine Learning course, makes it really easy to implement a basic neural net. Even if you have the ideas clear (or have gone through the ML course), still useful to take a quick pass though this and do the assignments.

I am thankful to andrew-ng and coursera for bringing up this course to demystify deep learning and making it easier through breaking it down and then explaining it. The theory as well as the practicals were the best throughout the internet for a beginner. Thank you so much.

A great introduction to deep learning. Andrew Ng is one of the very few people who somehow manages to make seemingly complex concepts relatively easy to grasp. Perfectly paced, decently challenging quizzes and programming assignments and overall a very rewarding experience.

Another phenomenal course taught by Prof. Ng. In this course I learned how Neural Networks works from a deep level and also implemented then myself! It's incredible how much can me taught when your professor knows which paths to take to achieve the final goal of the course.

It's a very good course for beginners, who want to get the feel of how neural networks work on the high level and would love to be handheld on every difficult step. I would wish for more self-reliant programming assignments, but I guess there is a different course for that.

The best teacher that I have came across.

It is commendable that someone with so much knowledge about a subject can think from a learner's perspective and explain the "presumably" minute of details that would otherwise be too obvious to explain from an expert's perspective.

Well, it was a very good course. I learnt a lot. Just one observation though: It was a plug and play course :), what I mean is that, a novice, would definitely find it difficult to connect the dots. I find it easy because I already had the background in convex optimization.

This is an excellent practically oriented AI/ML course that actually teaches you the transferable skill of building, real, practical training sets. It's all that one could ask for if you want to enter the AI field and get in up and running. Kazi Njema(Swahili for Good Job!)