I like how Andrew teach us the way of thinking about deep learning, I learn a-lot although I still have no idea for how to implement all of this into my real life but I believe with what Andrew teach can help me when my life reach that point =D

Well done!!! Probably the most intuitive and well structure MOOC I have done on deep learning so far. Moreover, exercices are efficient (i.e. no waste of time guess what they want) and don't take longer than what has been annouced.

Many thanks!

The course is well paced and does good job building intuition on DL. I do wish though we were reminded less often of the dimensions of the arrays in programming assignments, as it was often too easy to just copy what was given in instructions.

Thank all of the members help creating such a wonderful course! I have been dying to learn some of the underlying logic, maths and implementation of theory. This course covers all of my expectations and wonders. Thank you DeepLearning.ai team.

Great explanations and videos from Andrew, the programming assignments build from the simplest components up. If anything the assignments could be a little harder and it would be nice if there were optional videos to dive deeper into the math.

"Neural Networks and Deep Learning" Course is really awesome for kickstarting Deep Learning. It goes through very basic concepts of Deep Learning and moves step by step with lot of practice and exercises. Looking forward to Learn more ahead !!

I am very grateful to deeplearning.ai for giving me this precious opportunity to learn about the design of the underlying neural network from a person who can only use pytorch, which is very helpful to my future scientific research activities!

Andrew Ng is excellent in his own way of teaching the Deep Neural Network Course. It was explained on the lessons some erratum and duly noted on that. I enjoy this course even tho I am not a math person, well done. Would recommend this course.

This course totally simplifies the machine learning course by Stanford University. Some Neural network and python numpy library knowledge will let anyone take this course and this could be the best start for anyone interested in deep learning.

Great Course for someone who has an interest in DL and wants to learn how to work with Neural Networks. This is a very good introduction to Deep Learning. The Interviews with the Heroes of DL also gave a lot of insight to the current research.

I have previously used tensorflow to build DNNs but the programming assignments of this course helped me greatly to understand neural networks in depth. This also gives a very informative intuition for all the algorithms used to make the DNN

Even though I had a good background in Machine Learning, this course helped me to understand several concepts in a better and clear manner. The programming assignments are also pretty good in testing the knowledge gained throughout the week,

Amazing course to start your Journey into Deep Learning. Prof. Andrew Ng's intutions about lot of complex mathematics are just amaing and really easy to understand. The course has really helped me in uderstanding a basic ANN arcticture deeply.

This course does an amazing job of teaching some of the principles of designing Artificial Neural Networks. The instructors are insightful and knowledgeable, and the videos are incredibly intuitive. A must for those interested in these fields.

wonderful course , created interest towards calculus, interviews with hero's of deep learning motivated me a lot to go through difficult parts of calculus and to understand basics of deep neural nets. Hoping to complete remaining courses soon.

Awesome class with a lot of Python-based programming exercises.

I know there are so many good libraries on feedforward neural networks, but once in a life time, you should be able to implement it on your own - This is the right course for that!

Once again, Prof. Ng shares his deep knowledge and gentle mathematical overview around Neural Networks, why and how they work, and useful programming assignments in Python. Highly recommended for any ML/AI researcher, student and practitioner!

Andrew is an amazing teacher. I was already knowledgeable about the math behind the NN's and some of the popular net architectures, but I still learned so much and gained a lot of intuition and insight from his lectures. Great course overall.

Awesome course to lean the math and algorithm behind the much appreciated DNN. This brushes up and covers all logic as well as python implementation of NN with examples. Very much recommended for people wanting to transition of Dep Learning.

The best course of introduction to deep learning i've ever take. The professor Andrew is excelent explaining these topics and gives us a very good intuition and understanding of the neural networks models and the algebra associated with them.

It gives me good insight about machine learning, and I'm looking forward to the future courses in this series. However, the explanation of math behind verticalization (especially on the L-layer back propagation part) should be more in-depth.

The videos are very useful in understanding Neural networks. There wasnt much of a struggle in finding the required documentation/information whenever needed. The assignments and quizzes proved to be helpful in grading myself after each week.

Excellent lectures and coding practices with elaborated diagrams. Very easy to understand and touch the important contents of NN. Hopefully more details in optional math video for people who wants to explore deeper. Overall, like it a lot!

Good introduction to the basics of creating your own deep learning model without using any frameworks. Provides intuitions and explanations for all the formulas used so you can really understand why it is done like that. Amazing lecturer too.