This is an extremely good course to follow. Thanks a lot Prof. Andrew for awakening the knowledge in Artificial Intelligence. This course series definitely helped me in my career enhancement.

5 stars do reflect how much I've enjoyed this course. However, I will say that It would be nice to focus more on the mathematical aspects for the people who are very comfortable with calculus.

I really liked the course and I was glad to make all the functions on my own, rather than simply using the ready libraries. It gives a better idea of what a neural network is and how it works.

This is very good course. I thank Prof. Andrew Ng for this great effort. Also, I thank the coursera for providing these useful courses. I hope in future in can make courses and share them here

Nice course which is more clear and simpler than the Machine Learning course with Matlab/Octave. Although I am familar using matlab, I think this course with python can let me change my habit.

Thank you for wonderful useful course ! This course has brilliant and genius explanation of what NN actually is and use for. Thanks so much to deeplearning ai and special thanks to Andrew Ng !

A high quality course for anyone interested in the basics of neural networks and deep learning. The step by step approach is excellent and intriguing enough to make you feel like leaning more.

Professor Andrew explains complicated concepts in a easy and clear way, which gives me a very deep and memorable understanding of this course's content. I love his style of teaching. Thanks.

Frankly speaking, I love this course very much! More important, the design of the course is like I am studying in American Universities. It is very good! And I will recommend it to my friends!

This is a well-designed course that slowly builds over the skills over 4 weeks. It is better to complete the lesson in the given sequence as the each week's lecture builds on the previous week

great course. I like that it builds up to deep neural networks. I also like that it's a backdoor numpy tutorial. the math and algorithms are explained in an intuitive way with minimal clutter.

A great intro to nueral networks and deeplearning with python.The notebooks have nicely structured functions which helps great with the intuition and easy implementation of the code.

Thank you.

An exceptional starter course. I've been working on deep learning for some time now and he managed to express many of my own conclusions as well as highlight some new ones i hadn't considered.

Very well structured course with clear information provided by the trainer. The programming assignments are not only great for learning but an excellent starting point for our own development.

The best course for entering deep learning, as long as you have some basic concept of coding like function, you can learn from the very beginning. I think the coding exercise is well designed.

A great course that taught me many details about neural network starting from logistic regression, also it's intuitive enough for even those who doesn't have any DL/ML background to understand

First of all, I thank Mr.NG and his great team for giving us this opportunity to learn remotely.

I learned a lot from this course and I'm glad that I've attended this course.

Mohammad Karimpour

The course was taught right from the basics... starting from logistic regression then reviewing basic calculus and then going into multiple layers of neural networks. Really enriching course!

Clear instruction and indeed a building block for further study into this area. It would help you understand deeper with little linear algebra and calculus as background knowledge in advance.

It was one of the best courses about machine learning that I've ever taken, all you need to build your deep neural network is prepared in this specialization.

thanks, Coursera

thanks, Andrew Ng

This is one of the most satisfying course I had ever. Andrew is a genius. The clarity and simplicity to explain such a complex topic has been exemplary. Kudos to the DeepLearning.AI team :-)

Step by step curriculum of deep learning and extensive use of coursera bulit-in app. This course is quite well-made . The only downside is that the video and audio quality is not that great.

It was a bit confusing that what I did in the assignments would be explained in the videos of the following week instead of the current week, but in general it was a nice learning experience.

Being an engineer, this good quality content allowed me to get out of the loop of "blindly repeating model.train \n model.fit()". Thanks for clearly explaining and making it reachable for me.

Great course, definitely an excellent way of teaching. Although the videos don't have the best sound all the content and insights provided by Prof. Ng are extremely valuable and very precise.