Excellent course

Especially would like to thank Andrew Sir.

Though i understand concepts clearly, just had a bit hard time understanding the back propagation.

Thank you for an excellent course.

Effectively, yet smoothly, takes you from the shallow waters of basic statistical prediction to the deep waters of neural network. I bet you'll enjoy swimming there alongside your lifeguard.

It contained a lot of concepts which was great to start with, at last enabling to build an application of cat classifier with 80% accuracy. Prof. Ng teaches exceptionally well. Thanks a lot!

Very detailed introduction to NN! Really enjoy the class and those Jupyter Notebook really help me understand the concepts. On the other side, the programming assignment might be too easy...

Very good introductory course in Deep Neural Networks. It is very useful for those who want to pursue career in Deep learning. Programming assignments are designed to get hands on experience

Thank you Andrew and Coursera for this wonderful intro to neural networks and deep learning. The concepts were explained clearly and the assignments complemented the understanding very well!

This is a great class. You will understand the big picture of neural networks after you complete this course. I do wish that Andrew Ng could add a full week of lectures for matrix calculus!!

Amazing course, well explained, concrete exercises to practice, although you need some previous experience in machine learning. Professor's Andrew Ng Machine learning course is a good start.

Very comprehensive. There were a lot of repetitions but all of them were required because it is a bit tricky to get used to the notations and the concepts. Once again, well done Prof Andrew.

Very good for getting the basics of forward and back-propagation correct.Provides a very clear understanding of these concepts.The grader's feedback for wrong outputs could be better though.

Great introductory course to Deep Learning. Definitely helps to be familiar with the materials covered in the Machine Learning course.

This course highly encourages you to take the next ones.

I love this course, because I learnt how to build neural network. The backward propagation derivatives are not easy to understand, but I figure them out by watching the videos several times.

Exceptionally well formed course. It teaches you all the knitty-gritties of how to train neural nets from scratch. Thanks to Prof. Andrew Ng and Coursera for introducing this specialization.

Very well designed course to learn mechanism of Deep Learning.

Prof. Ng taken Bottom to Top approach to taught this course.

#ConsistenceTerminology #WellDesignedQuizzes #ProgrammingAssignment

Very well structured, very well explained, using the simplest and more efficient way to explain things, method used only by Professors who deeply understand his topic and best universities.

Course materials are top-notch. But last week's assignments were a bit hard even for an intermediate Python programmer like me. Can't wait to complete all the courses in the specialization.

This is the basic understanding of Neural Network intuition. This is the Foundation that everyone should know about. Very informative content apart from that explanation is very attractive.

Really crisp and well-organized training course and provides lots of help/aid for the math and python involved in it too. Thanking all the contributors, managers and founder Prof. Andrew Ng

Very indepth course where it covers the math behind deep learning so you actually know how to make your own custom model without being dependent on generic models available on the internet.

I was familiar with the topic of this course but still, it helped me deepen my knowledge and learn many new things. The whole material also helped me to gain better insights into the topic.

I learned the most from this course in this specialization. This course lays a great foundation for Deep Learning. Concepts were well explained by Andrew. Amazing study material! Thank you!

Fantastic! Really great follow up to the original machine learning course. Programming exercises are maybe a bit too hand-holdy, but still manage to illustrate the core message really well.

it was very informative session , it started with basics and has gradually moved to higher concept . Examples have clarified all doubts, I want to be part of more courses in future as well.

I liked it so much. It was not easy in some labs, but remember, you just need some kind of intuition about math and programming and then it will be earier and easier. Thanks to all authors!

Great when (as in my case) you have a bit of a programming and maths background. Andrew pretty much answers most questions you'd have in mind while learning, and reassures us along the way.