Great course! It provides in-depth knowledge of mechanisms behind neural networks such as gradient decent, forward and backward propagation with perfect balance between intuition and math proofs. It was my first course about Deep Learning and Neural Networks and it was worth it.

While I've read a deep learning book and some articles before taking this course, this course really helps make deep learning concepts feel very concrete. You probably want to know some python before taking the course, but you could likely pick up what you need to along the way.

It would be better if we could have some material, like a PDF file, as a summary so that when we have some questions in assignments, we can loot it up. Right now I can only review the videos and it seems to be less efficient. Anyway great course and great teacher. Thanks a lot!

This is a great course to understand the deep learning concepts. Also the assignment using python gives the hands on experience on creating the deep learning model using numpy.

I would recommend this course for people who want to start learning the deep learning from begining.

Amazing course very well explained. I was able to right my own code with my own variable values and my images so I did learn a lot and I do recommend it. If you are someone who likes AI or machine learning or just a python in general this course is for you! Doesn't hurt to try!

Great theory explanations and the notebooks are just excellent. They really bolster the concepts, and are very well-guided. There is a bit too much hand holding though, and some of the maths behind the derivations os backpropagation are omitted, which does cause some confusion.

One of the best course I have ever learnt for learning Deep Learning from Scratch. I highly recommend this course to all, who wants to learn Deep Learning. I really would like to finish all courses of the specialization. Thank you very much for offering such a wonderful course.

Exceptional and perfect to the core, this course is the perfect introduction to the field of Deep Learning. Well designed programming exercises and quizzes by the team and all of this is spearheaded by Professor Andrew Ng! Thank you sir for helping us learn something so easily!

Excellent course from Prof. Andrew Ng, providing detailed information on every topic in a clear and elaborate manner. The course material is too good and the practice exam approach using Jupyter is amazing, helped learn quicker. Thanks very much Coursera for such a nice course.

All concepts are explained with great simplicity. A little light on the math side, but Andrew Ng doesn't leave any stone unturned. Definitely helpful if you have basic knowledge of Python and Machine Learning. However, at times, the superscripts and subscripts do get confusing!

Great explanation of fundamentals with some good exercises. Side-effects include refreshers on linear algebra and tools like numpy. I like the clarity of this course, for example, the separation of the linear from non-linear parts of a neural network layer and why that matters.

Needed a grounding in deep learning and this course helped me with that. Well streamlined with all the necessary data/code to perform the coding exercises and have them graded fast. My comfort level to be able to apply this to solving real business needs have improved greatly!!

I really liked some of the intuitions provided by the instructor, especially the intuition behind the several layers in NN in context of images, and audios.There are quite a few typos and errors, and they need to be corrected, especially the ones in the programming assignments.

The course is really good. But the videos are grouped to one complete module followed by complete implementation which becomes a zone out. After each lesson is complete we can also take up each implementation(cells in the notebook). This could be good for better understanding

I have taken other courses about neural networks and they were using a built-in module to implement neural networks but in this course, we build a neural network from scratch and now I have deep and better understand what actually happen inside the black box of neural network.

Amazing course, I found the mathematics behind neural networks very interesting. I also wanna give major appreciation to the use of notation and symbols in the course, it was perfect and not unnecessarily complicated, unlike other courses and textbooks I've seen on the market!

Very good course, teaches the fundamentals of deep neural networks very well and particularly the importance of vectorization is also stressed well in this course. The programming assignments give us a good feel on how to implement deep learning by giving interesting examples.

This Course provided me with an excellent base to venture into the world of Deep Learning. It helped me grasp critical concepts which would enable me to start working with Deep Learning on my own. Now i can safely move forward with the remaining courses in this specialization.

This course explains the basics under Deep Learning, it is not as other courses that goes directly into applications using it as a black box. It is part of a specialization on which you will also learn how to go to applications, but with the knowledge about what you are doing.

Helps you clearly understand the fundamentals of neural network and deep learning, Andrew NG is amazing at explaining complex topic in an easy to understand language and he also tells you tips and tricks to work more efficiently. Great starter course to get into deep learning.

Amazing course! I took machine learning course first (which is also amazing!) and then started this one. They are both good for beginners, some of their content overlaps, this one can be well stand-alone - don't worry about it if you have not taken the machine learning course.

Great introduction into Neural Networks and Deep Learning. Andrew does a good job with explaining the concepts and the simple programming assignments reinforce the learning. You won't come out a wizard in NN/DL, but it's a great start to continue to motivate future learning.

Excellent Course, the mathematical details provided in the course helps in understanding the working of Algorithms to the fullest. Although, it would be very helpful if some detailed textual content can be made available for each chapter to take the understanding even further.

It is a Comprehensive course on Deep learning and undoubtedly the best in courser, providing every detail on how to work and make your model, still I would recommend to follow Stanford Machine Learning Andrew Ng course once to lay a rock solid concept before starting off here.

I have learned a lot from Andrew Ng in this course and the teaching and exercises' style is consistent with that of the Machine Learning taught by Andrew Ng. Generally speaking, the python programming style is very pretty and I will follow this style to program in the future.