It is really an excellent course. I am fully satisfied with the content of the course and the style of teaching. I loved the in depth mathematical explanation of the neural network. I think I would have missed a great learning if I did not chose this course.

This was just a fabulous course! The lecture videos and python notebooks were very comprehensive and structured in such a way to really promote learning the underlying fundamentals of neural networks. Outstanding content and organization. Highly recommended.

Thank you for this course. I ever studied Neural network, but I knew only concept. I always want to know how to create NN for long time ago. Now I understand how to use it in Supervised DLP. I hope that next course will teach me about unsupervised DLP too!!!

Very good course! Andrew has the magic to convey complex ideas in a straightforward and easily understandable way. Also smooth learning the courser provided. Homework is great, although I would argue that it could be more challenge and thus more interesting.

Great Course for ML Practitioners. My mentor Andrew NG was the catalyst for my career in ML when the first course was released in coursera a few years back. This course helped me in understanding the concept behind Deep Learning. Absolutely loved the course.

It's a great course! Instructions, tips and other details are helpful to understand principles and methods of deep learning. I believe it took a amount of time of Prof.Andrew to set up such a online course. Thanks a lot for providing such a excellent course!

Prof. Ng has a real talent at breaking down complicated concepts into easy-to-understand parts. The homeworks are not trivial but are easy enough for someone with little python or machine learning experience to work through with a bit of effort. Very useful.

The entire course is very well structured. There are clear goals for each lesson and also easy-to-follow instructions that are needed to achieve those goals. It has made me much more confident in learning machine learning as somebody who is not good at math.

Much better paced than Andrew Ng's previous Machine Learning course, this course explains step by step how to implement a simple deep neural network in Python. The Jupyter Notebooks are very well structured and explain what is going on every step of the way.

I Love this course so much !!

After taking this course and implementing neural networks from scratch with code and math. I feel so proud of my understanding these amazing concepts. Andrew delivers always the best and the lectures were really extraordinary !

Really helpful to make us understand some of basic knowledge about neural networks and deep learning. For some people, the math in neural networks is quite intimidating, but Andrew makes it easier to understand. The programming exercise is also very useful.

Exellent course with covering in depth mathematics of deep learning. A quick course and very easy to follow. Assignments are good but they have oversimlpified. It is a very good course if someone is getting into this feild and want to start with the basics.

I will recommend this course to anyone who is starting in the world of artificial intelligence. Andrew Ng is an excellent teacher and I look forward to seeing him in the next courses of the specialization. my congratulations to everyone behind this project.

I'm a Mathematics student. I haven't taken a course like this before, my only background was a little bit of Francois Chollet's Deep Learning with Python book, yet I understood all the content clearly. I don't even mention that Andrew NG is a great teacher.

The Course was very helpful for enhancing my knowledge and I learnt about Python Programming in better manner. Also, this course helped me in gaining some insights into Building Deep Neural Networks and also building the intuitions for Deep Neural Networks.

Great course. It filled the blank I need. It does not put a lot of weigh on calculus, which made a lot of easy and fun. The programing assignments make the learning clearer and have a very clear structure connecting all the pieces I learned from the course.

Magnífico! Andrew Ng is my hero. I'm a graduate student and I'm so happy I can complete the habilites I intend to gain with this course. Thank you for your time, you can change lives. And thank you to Coursera to open the certificate during this tough time.

I found the course to be very well structured to fit for newbie and for those feeling home. A bit of what learner should expect in real time environment will make another sword in the belt for killing obstacles towards good carrier and building confidence.

A very nice course. Comprehensive guide in the coding part. Really enjoyed a lot while coding. A lot of new things to learn via lectures. Don't skip it. Watch every lectures. They are very helpful. Looking forward to the next courses of this specialization.

This is one of the fantastic courses I have come through. The way of teaching by Andrew Ng is superb. The assignment walk through was a very important thing for first timer like me. I appreciate this good work by Coursera and Andrew Ng and his team. Thanks.

This was a very informative course, and I learned a lot. It does slow down to a crawl, however, when the instructor covers VERY basic concepts in calculus (derivatives). I found the Python exercises very useful, even though I've never touched Python before.

You can probably get started with Deep Learning doing other tutorials that go more straight to testing things out (openAI, etc.), but I think that starting with the fundamentals in this course was very valuable to demystify what is really going on in there.

I have learned a lot of basic ideas about neural networks. I have also learned about the basic programming of binary classifier in layer 1, layer 2 and Layer L. This course is very suitable for beginners who want to write codes in python for classification.

Fantastic course. I had been banging my head against the wall for a while with this material and Andrew explained it in such a simple way. The exercises were very helpful. By the end of this course you will have built a deep neural network just using numpy.

Amazing introduction to Deep Learning starting from the basics (logistic regression) and building up to deep networks. All the necessary math is explained in the videos and we implement all steps of the algorithms using NumPy in the programming assignments.