I had a great experience in this course, it was a LOT to take in during such a small time but it was an exhilarating experience nonetheless. Thank you everyone, The professor Dr Andrew Ng, and the coursera community for your support and making it possible to learn all this at home.

I find it very intuitive the way the course is taught. Most of the resources on the internet show complex equations for forward and back propagation steps, but in this course, the incremental complexity strategy makes it simplier to understand the concepts, even with vectorization!

Excellent overview of the foundations of deep neural nets, clear explanations and fantastic intuitions. The only issue is that I feel that the programming assignments hold your hand a bit too much, but they do so in a way that makes it explicitly clear why the code you wrote works.

Great course. I came here after doing the Machine Learning course, so it felt a bit easy. Liked the fact that the assignments are in python and jupyter notebook. It would be great if the slides were provided as a bundle for each week, rather than separate download with every video.

The professor was amazing and his ability to clarify the concepts were superb. The programming assignments were really helpful and effective. The mathematics might feel intimidating at first but if you go through each equation slowly you'll understand the beauty of neural networks.

Excellent content delivery, specifically the algebra and calculus.

More python functions may be included. But expecting in the second course.

Heartfelt Thanks to Prof.Andrew Ng for such a nice course...All ML and DL enthusiast will be very happy to learn from the prof. in this course

The videos and the programming assignments are exceptional. Andrew has a very pleasant way of introducing concepts and presenting the material. The programming assignments are very well structured and organized, so that it will really help to practice and verify the course content.

Very well structured presentation of the basics of Neural Networks and Deep Learning.

Excellent labs that illuminate the complexity of the subject.

Inspiring optional videos about Heros of Deep Learning.

I feel now confident about the foundations of Neural Networks and Deep Learning.

Great introduction and explanation of neural networks and the math behind deep learning. I especially appreciated the walk-through of using Jupyter Notebooks and Python development; I have extensive programming experience, but had no experience with Python until I took this course.

Very clear lectures that also try to provide some real work context. It's very nice to learn how something works and also how it could be used outside of the class. The coding assignments are structured very clearly and understandably relative to other courses that I've completed.

Excellent course. Loved the fact that the professor goes into excruciating detail while trying to makes things sounds simple.

I think the later week lectures did not have those pop-up questions which followed every lecture in week one. Such questions in every lecture would be nice.

Loved the course! This was exactly what I was looking for. I am not exactly a "beginner" to machine learning, but as a student who has still a long way to go, I can affirm that this course clarified a lot of doubts and helped me understand vectorization.

Thank you, deeplearning.ai!

It's a good introductory course which explains all the basic concepts of deep neural networks. Might seem a little slow if you know the basics of DNNs already. But it was worth going through all the videos and the programming exercises to make sure I understood everything properly.

Very well prepared contents and excellent exercises. Additional thanks for interesting interviews with leading researchers in the AI.

Some video content might benefit further from more intuitive explanations of the symbols used. Everything becomes clear during the exercises, though.

Very gentle introduction to basic neural network concepts with very insightful and well-guided programming examples. For those familiar with Machine Learning and Calculus this may be a too basic course, but the material is great for a very practical review of implementation details

Last 4 weeks during lockdown, I was involved with professor Andrew Ng using coursera.org . That was a great journey with him. He taught from very basic to advance level. I think, this course will accelerate my career. I would like to thank all mentors of Andrew Ng & coursera.org.

Excellent course for a begginer. Absolutely on bang what a fresher need to be done and the intution given by Andrew N.G is on point. He uses python which is another plus point to this course. One who wants to learn the mathematics behind neural networks, this course if for you 😄.

I can't believe how nicely the things have been explained in this course. I had no background of Machine Learning, still I was able to grasp everything after little effort. The assignment directions are so helpful, they guide and explain everything till the end. Absolutely amazing

With all the resources given in this course, I finally managed to understand in a simple and easy way how Neural Networks and Deep Learning works behind. The fundamentals were fully understood.

This is the beginning of a path that fascinates and surprises me.

Thanks Coursera team!

The best course to follow up with the Machine Learning course by Andrew Ng. Andrew Ng showcases why he is so highly rated yet again as one of the best teachers in the world. He leaves no room for any ambiguity and prepares one with a thorough and deep understanding of the subject.

Excellent introduction to Neural Networks and Deep Neural Networks from first principles. This knowledge will be most useful as one can then understand how the system works on the insides, rather than just blindly copying and using DNN models without a clue as to how they operate.

Thank you Mr. Andrew

It's the second course for me after Machine Learning course, and I learned a lot from it as expected.

I'm so excited for the rest of specialization.

I recommend a basic knowledge of linear algebra, calculus and an intro to supervised learning before this course

Sir Andrew Ng did a marvelous job of teaching the neural networks & deep learning step by step with implementation. The concepts were well taught and the assignments were really helpful to get a clear view of how neural networks actually work and how to create your custom models.

This course is very well organized, with detailed and clear explanation of difficult concepts throughout. The supporting material in the form of downloadable items is extremely helpful. Feedback to individual questions through the weekly forums is prompt and straight to the point.

This introductory course was fun and easy to get along.

Professor Andrew and his crew put a great effort for this course. Clear voice and image. I completed the course in less than 4-weeks and watching the videos was a quite nice experience. I can't wait to start the second course.