This course is really great to understand neural networks before starting to play with Tensorflow and/or PyTorch. Actually, everybody should follow this course before starting to use these 2 frameworks

Well structured course, learned a lot, thanks. Also enjoyed the "Heroes of Deep Learning" videos. Looking forward to completing the specialization. More challenging than I expected, and that's good.

As someone with a lot of prior knowledge, this course still did a great job building up intuition. My favorite in particular was backpropagation with computation graphs. That lesson was done very well.

Great explanation about deep learning and neural networks by Andrew Ng. He has a marvelous knowledge of the underlying mathematics and he has the ability to explain it in layman terms. Congratulations!

Great platform to start with the fundamentals of Deep Learning and Neural networks. Well organized mathematical explanations and the programming assignments were so helpful to deepen our understanding.

Every concept was well explained in the course. I would highly suggest watching the optional videos because they give a better understanding of the mathematical equations and how neural netoworks work.

A great course. Learned backpropagation in great detail and this has set me up very well for the later courses of the specialization. Furthermore, it has given me some industry level knowledge as well.

I personally suggest this course to my friends since it give as a new look on machine learning through deep learning implementation . And also through the programming test we can learn more on that too

Course is well designed. Teacher delivered very well and i liked the good environment of appreciation by teacher. I think every teacher has his/her own way of teaching but Andrew ng is one of the best.

The first course is a great step to start learning DL, but after completing the first course of deep learning there should be some guidance about, how to get to the second course of the specialization.

Painful and tedious, but extremely well thought out and structured. I complained a bit during the course. But it was the only way to learn NN in a non-black-boxy way. I look forward to the next course!

Very suitable for beginners in the field of Deep Learning. Clear lectures, backed with examples and nicely crafted programming assignments. Would recommend to anyone interested in AI and Deep Learning!

Course is very well structured. It gets complicated sometimes to understand some things , but with practice and consistent efforts , one can solve the problems. The course surely boosted my confidence.

very good course.. i am able to understand a complete mathematical backgroup behind the deep learning . im sure it will help me alot for my masters project . thank you so much for this valuable course.

I will definitely recommend this course as a start up fundamental for those of you who is stepping into AI field. well organized course material which leads you gradually into how neural network works.

Best course of deep learning and AI I have ever come across. Indeed this course provide me lot of knowledge related to Artificial Intelligence and related areas. Overall I rank this course at level 5+.

A really excellent intruction to neural networks. If you have completed the "Machine Learning" course led by Dr. Ng, this course is also a helpful review for the neural networks section of that course.

As expected, Andrew Ng and his team have done an excellent job explaining NN and getting our hands dirty but this time with python (woohoo) and excellent jupyter notebooks! Thank you for coming back :)

Excellent introduction to Deep Learning. The most important lesson learned was the building of the mathematical components of a deep neural networks, from a simple node up to an n-layer neural network.

Very nice course with detailed guides. This helped clear some major confusion for me in neural network. Especially the exercises on matrix dimensions, and actual coding of FP and BP. Highly recommended

Very clear and straight forward explanations for the video lectures. Great ipython notebook materials! If you have master some machine learning basics, you should be able to learn this 1st course fast!

Never think and listen to people who says you cannot learn science without math degree. This course proves opposite of your abilities to know hard coded science formulas with none math knowledge! :)

An amazing course and gives quite a detailed and beginner-friendly description of deep learning and neural networks. This course helped me immensely in overcoming my intimidation towards these topics.

The notation and the description of the course materials are way more comprehensible than that of the ML course. I deeply appreciate all the efforts made so that this course could be presented to us.

I understand forward and backward propagation much better - having done it a lot in the notebooks multiple times. And I have better knowledge of which activation functions to use and when. Thank-you!