Gives a pretty brief and good understanding about how a deep learning model in general works and at the same time helped to implement a multilayer model of neural network for absolute beginners.

it's a great course. I like the interview part very much. By talking with actual researchers, I get to know more about their ideas and thinking, it's a good supplement of their papers or reaches

An excellent way to know Deep Learning theory and practice with programming templates to solve real world problems. Now I'm very confident about applying these solutions to my own problem space.

Great introductory class on coding up your own L-layer neural network. I thought the assignments might have been a tad on the hand-holding side, but perhaps that is necessary for a first course.

This course gave really good understanding of what a neural network is and also it was really confidence boosting to implement a network from scratch giving a through knowledge of the processes.

I expected the assignments to be a bit tougher. They are more of spoon feeding. But it will really be helpful for amateurs in machine learning. Overall the course and the material was excellent.

This is the best ever course on Deep Neural Nets I have taken so far. Programming assignments with math made perfect sense on how to use numpy and python to build neural nets. Thank you so much!

It is very helpful even if you already know about linear algebra and some mathematics. The course is simple and you can get an intuition about Deep Learning. I am looking forward to next course.

Navigating through course materials could be made better!

Guess we need to apply ML algorithms to find which user likes what type of navigation, based on the courses he is taking and continuing!!

Great Course, very well balanced. I discovered how Python and numpy were well suited for Neural Network computing. Sure thing that I'll follow the others Courses of the learning path. Thank You.

Thank you, Andrew! The most important topics have been covered in a concise manner. I have seen many other tutorials on NN & DL, but this course simplifies the mathematics for you. Great course!

I would like to upgrade my knowledge and skills from traditional ML to Deep ML, therefore I have taken this course. Thanks to Prof. Andrew Ng and group for their knowledge sharing great efforts.

Andrew Ng has done something amazing, in terms of quality of the content and simplicity for explanation. integration of juyter notebooks for programming assignments allows to acelerate learning.

:) Really Good DeepLearnign Course, I like the way Ng explained the math. I gives you a good intuition of the why of Neural Networks which mostly everyone fails at it. completely recommended it!

I really enjoyed taking this course. It covers very well the "foundational" blocks of NN. Also, I found the programming exercises quite enjoyable and hands on.

Looking forward to the next courses

Brilliant!! can't thank Andrew Ng and Coursera enough for coming up with this course. Builds the concept step by step and make you understand the tough concepts in a easy way. double thumbs up!!

This course is somewhat similar to the Machine Learning course taught by Andrew Ng with the exception that this course dives 'deep'er into application, vectorization and mathematical background.

Very good course for starting to learn neural networks. We can learn all of the basic techniques and information from this. All things are clearly explained. Thank you fro this amazing course.

The course is well structured and the basic knowledge regarding neural networks and DL is given in a very simple and detailed way, so that one can get a good amount of introductory knowledge

The best way to learn a neuron network is to implement one by your hand. This course provides with nice step-by-step guidelines for students to have a descent understanding of a neuron network.

A great course. Every concept is explained in detail and you do not need an instructor to ask questions.

Labs are great. You can implement a neural network model step by step with provided tips.

The mathematical derivation process is not complicated, but the description is too long. Hope to see a more standardized and more concise mathematical derivation process instead of python code.

The course started off from the very basic neural net and introduction of deep learning and gradually ended at a deep neural net which made it easier as it kept expanding on previous knowledge!

One of the most clear and complete courses Ive ever done. Prof. Andrew's manages explains the theoretical and mathematical aspects very well along with maintaining practicality and application.

Curso my bueno, con fundamentos claros de como se deben aprender a dar los primeros pasos en el mundo de las Redes neuronales, claro y consisos, bueno temas de programacion y facil de aprender.