It has been quite interesting course! The explanation videos where very easy to understand andby writing code in python I understood little by little what explained in the theoretical part and got more and more confidence. Also by resolving practical examples it motivated me a lot to finish the course.Great job!

One of the best courses I have taken, specially for Neural Networks, after taking the Machine Learning with professor Andrew Ng I could not wait for him to release another course and he did it. I am currently studying a Master's degree in Machine Learning and this is one of the most helpful courses I have taken.

This course was an excellent introduction into Neural Networks and the concept of Deep Learning. Prof. Ng provides a series of video lectures that provide the basic tools to implement several examples in Python. A very enriching experience!

Looking forward to the next courses that are part of this specialization!

Great way to learn and understand how FW and BW propagation works. Great examples and very organized programming assignments. The user group forum is of great help when you get stuck. Even a small hint makes a big difference. I am also thankful to all forum participants.

See you at the next course. Regards, _igor

It's a good intermediate course on Neural Networks (NN) and Deep Learning (DL) topics.

The best part of this course is how it was designed and taught with a vision of AI benefitting all. I sincerely thank Andrew Ng and his team.

I would recommend this course to anyone who wants to learn beyond the NN and basics.

Andrew is back with an amazing DL course, This first course is the ABC/building blocks of what will come next. Andrew explanations are very clear and simple. I've appreciated so much the choice to use Jupyter notebook for the programming assignments!! A great begin for a great specialization. Let's go deeper! ;)

Until I took this course, I had very little idea about Neural Networks, particularly backpropagation. Thanks to Andrew for such valuable lessons, he explains very intuitively, so no hardcore math background is needed but his lessons are well understood with math background as well (I studied Actuarial Science).

The course is incredible. Andrew Ng has the ability of make thing so easy. Deep learning seemed like such an abstract concept to me, but just after the first course, I feel so much more confident about the topic. I recommend this course for anybody and I am so grateful for the opportunity of taking his classes.

After finishing Andrew Ng's previous Machine Learning course with Standford University, I attempted this course as part of the 5 course Deep Learning Specialization. This course went into much greater detail while keeping the content such as forward and backward propagation much simpler and easier to visualize.

Very detailed and structured explanation of concepts. I always thought that the neural networks work like a black box and are too complex to understand. This course is extremely helpful in breaking down the various complex concepts that form the backbone of any neural networks. Truly insightful and informative.

Awesome Tutor with a lot of interactive intuitions and helped to understand the concepts much easier and the exercises were also very much fun could have enjoyed more if there were other exercises also. Couldn't get enough of it. Thank you so much and kudos to the team who had made this course what it is today.

Andrew described knowledge points of ML in organized details. Most important of all, his lecture is very easy to understand.

Obviously he know ML from top to bottom, in and out. So there is no show off of jargons, or try to explaining a concept by a more complex concept.

Recommend to everyone who want to learn.

This was my first coursera course and I can say it was definitely worth it. I began learning AI topics on my own via blogs/youtube/papers and I can say (so far) that this methodology is much more optimized as the lectures are very complete. I would definitely recommend it to anyone interested in deep learning.

I have done just the first two weeks, and even for only that this deserves a 5 star rating. I've learned how to program neural networks with Andrew Ng's Stanford ML course, but this gives deeper insight. To think how obvious it is that backpropagation is just a simple application of the chain rule in calculus!

I have worked with many machine/deep learning programs for the past years. Still, I think this is a great course to get a grip on the linear algebra basics, even though it is not that hard to begin with. It is also perfect for beginners to understand the underlying logic of machine learning and its techniques.

if you ever wondered what is this buzz about machine learning? then this course is for you. Andrew Ng is an excellent teacher. he explained really complex problems in a simple manner. looking forward to taking other courses in this series as well. thank you Coursera and Andrew Ng, for such an excellent course.

Amazing Course. Thanks a lot, Andrew Ng & his team for creating outstanding content. Andrew Ng explains all of the mathematics & statistics concepts very clearly. Moreover, assignments quality is too high. I cannot express my happiness when my model can detect my favorite cat picture after creating L-layer NN.

It's really organized and universal course. I found a few instances where it was less mathematical especially backprop derivation because it's also designed for the people without good mathematical background. Loved the beginning of the journey! Even if you know ML, this course will enhance your understanding.

This course is amazing !! My professor in my bachelor degree taught me about neural networks in the pattern recognition course, and I did research about using neural networks for electronic device modeling during my master's degree. However, I did not come across such explanation of neural networks. Well done!

Perfect for Deep Learning Beginners.1. Well Structured and to the point.2. Assignments shows best practices to follow.3. Maths at its best. Minimal and most effective.4. Duration is just perfect. No clutter, No garbage talk !5. Mr. Ng surely knows how to teach. One of the best taught course, i have ever took !

Great course, learnt a lot. The assignments are interactive and just right for the level of course taker. Maybe a little bit hard for people who are new to programming, but not impossible.

There are still some space for improvement, such as the English subtitles, pdf file of slides etc.

Thank for a great course.

I have got a better intuition of what neural networks and Deep Learning is, and got more insight of why AI, especially Deep learning starts taking off recently. Besides, I also learn how to build my own neural networks with Python. I really express my gratitude for all teaching staffs of this wonderful course.

Excellent Course!

Andrew is really good at conveying some complicated concepts in ML through somehow casual and intuitive language. Besides, practice guides offered in lecture videos and assignments are very useful for mastering the concepts of DL.

Anyway, to me this is one of the best tutorial for DL beginners!

It gives me a symmetrical understanding of DL, which I have picked up in cs231n online. However, after taking this course, I figure out most of the details and the work flow of NN becomes clearer. Thanks a lot! In addition, from the assignment, I am impressed deep by "modularization" coding. It benefits a lot.

Best course on Neural networks. If you are trying to learn from scratch without any idea of neural networks or machine learning, this course is for you. Personally, being from a mechanical field, this course has still helped me develop deep insights even though i didn't have any background in neural networks.