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!

it really helps a lot and gives me some insight in neural networks. The math problems also help me to do lots of reviews on the past materials. Look forward to next courses, thanks Andrew and Coursera

I was actually a kind of half cooked in neural network. Thanks to Dr.Adnrew for his wonderful explanation, I am directly going to register for convolution neural network as I gained enough confidence

Very useful introduction course for deep learning. The videos and assignments are well designed. After finished this course, students can construct basic neural network for binary classification task.

learned many things but this was hard for me that's why it took more time than normal i would say this is good to start your learning in deep learning it is difficult but with hardwork you can do it.

The course is really good for beginners. It builds up the concepts from the basics and also gives a pretty good understanding of the maths behind the algorithms. Andrew Ng is the best teacher period.

Lot of courses teach theory and uses python in built libraries. This is the only course learners are encourage to built the algorithm from scratch to gain more understanding of things under the hood.

It was a great start of long deep learning journey. The concepts were explained in simple and brief way. The course is designed in excellent way, Quizzes and assignments makes this course worthy.

Very well structured for beginners. But the Vectorized solution should not be provided while implementing the code. It should be hard to get or someone is stuck then it should be unlocked on request.

Carefully designed course that walks you through both theory and exercises step by step. I personally loved the explanations about the math behind neural networks and its implementation using Python.