I found it very useful. previously I was afraid of assignments, but assignments are understandable and easy to execute. learned a lot from debugging. whatever we learned from Andrew ng's video .practically we did it. Both videos and assignments are superb. 5 stars to this course.

Great course, Andrew NG sir is great, he teaches very good and makes us understand in simple terms so easily. One of the biggest successes of this course lies in correctly selecting the variable names and it remains consistent throughout the course. Just go for it, totally worth.

The contents that were included in the course was explained in great depth, Moreover all the functions are computed on python and no predefined library is used. Amazing experience, this course has increased my interest in deep learning. Clearly one of the best course on coursera.

The course is very well designed and features a lot of hands-on exercises with great instructions, which provide enough clues but don't make the exercises too easy. Great course for getting into Deep Learning and preventing the students from giving up too early into their journey

Clear and straightforward. I feel like I really have a solid understanding of the fundamentals. They assume you don't know calculus, which is probably nice for some, but I'm surprised they don't do the same for linear algebra. A simple review in one video would have been helpful.

The great starter course for everyone, if want to dive into deep learning, Andrew teaches you from basic, and absolutely give you an insight about deep learning using python without deep learning library. I like this course, because I learn fundamentals concepts of deep learning.

Teaching an very intuitive understanding of Neural Networks (which is not misleadingly using a brain neuron as a bases for understanding).

Lots of repetition of the linear combinations and activation functions in Forward & Back propagation but that's probably good for remembering.

A very nice refresher for linear algebra and logistic regression all the way to multi-layer networks with a well organized chapter and exercises to help student focus on the subject with minimal distraction by infrastructure implementation. Also a good introduction to use python.

Course content stretched the mind, but in a good way. the programming assignments were sufficiently guided that little/no knowledge of python was necessary to complete the course - though - I found out the hard way that errors in python took a while to fix.

overall a great course

This course is fantastic. Beginning from the pictures, trying to show the structure of algorithm in a easy way, and then explain methods behind specified algorithm. Everything is explained in details, students withou good mathmatic background can understand all the things easily.

It's a very good introduction to NN and Deep Learning. The material is good for people with and without a mathematical background. The mathematical details are shown and derived; however, the math is also summarized for those interested getting to know the basic understanding.

I have implemented neural networks before and taken courses on them, but I never fully understood how backward progation works until this course and deriving how the weights are updated via chain rule. Also really enjoy the extra videos, esp. Ian Goodfellow's advice (and book).

This course covers the basics of Logistic Regression and the intuitions behind shallow and deep neural networks. It is definitely a go-to course for ANYONE who wishes to understand MORE about the inner workings of a neural network, albeit not VERY in-depth. Easy to understand :D

What really impresses me is not only learning, it is also being able to apply the knowledge we learn. Here i have this privilege, which represents a big step towards achieving my professional goals and creating positive impacts bu applying artificial intelligence. Thanks so much

Amazing course. Videos were instructional, applicable, and thorough. The programming assignments were well thought out and challenged ML knowledge appropriately. Finally, the implementation of this course was well designed. I feel I actually learn ML well in Andrew Ng's courses!

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!