The theory covered all concepts that one need to know about deep learning. The assignments were hands on. But there was a lot of guidance in the assignments. Had to write just a few lines of code. Could have been better if students were made to write the entire code by themselves.

Very well taught. Andrew's teaching style and focus on intuition makes this course so much more valuable than workshops and other courses I've sat in on. I highly recommend it to anyone wanting to better understand the intuitive theory behind deep learning. Thanks Andrew and team!

Very lucidly designed and explained! It's quite easy to understand the complex mathematical equations due to the simplicity of the course content, definitely there has been a lot of hard work gone behind the scenes by Andrew Ng and his team. Kudos to you and Keep up the good work!

Really enjoy the "improved" way to do the assignments (vs. to machine learning), and the flow of doing them in small parts. Videos, as normal are perfect! The only small item that could ask would be few high level videos about use of deep learning (e.g. valley company interviews).

its really very intresting course . this course is very biggner friendly and it's took all the basic thing that you need to know to start your journy towards the deep learning engineer . the professor Anderw ng he teaching very well .this course help me a lot . Thanks Andrew Ng

This is such an amazing and exciting course. It gives basic to advanced knowledge about deep learning workflow. I used to apply built-in functions from deep learning libraries without any idea what is happening inside them but this course gave me ample kowledge about thess events

This course really helps developing the basic and intermediate understanding of how linear algebra and calculus applies under the hood in neural networks, deep learning and image processing for deep learning. Very intuitive! A must do for all prospective machine learning students

Great course, I would recommend to take the Machine Learning course before, in order to get the concepts very clear, and also maybe Python for everyone, great course, great homeworks, the last one is the most challenging one, but once you get the logic, its confusingly satisfying

This is a very instructive and informative course including both theoretical background and implementation practice together. It is a very different experience to program a DL model that was used to be only on paper. I am thankful Prof. Andrew Ng and his team for their great job!

Really complete course, also is really math heavy, I recommend complementing this with youtube videos (for example the videos that 3brown1blue made on the essence of algebra, and the ones about neural networks) and outside material, doing this really helped boost my understanding

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!