Amazing course. Very structured and highly technical. Next step for me is to pick any project of my own choice and build that using Deep Learning from the first principle. Special thanks to Andrew and team who made this course so special :) with love Suvro.

Very good and well explained course. Even though it has been almost 2 decades since I had my linear algebra I could follow. Really a must have for anybody with minimal coding/maths understanding and willing to learn something new about deep learning and NN.

Really well-curated course with excellent lectures and really great hands-on content, plus lots of room for thinking around the topic. I've tried a few intro ML courses/books and this is the best by far! Looking forward to continuing with the specialization

An amazing foray into the world of deep learning! It has everything a learner expects from a course. Excellent concept introduction, apt examples, good mentorship and interviews with role-models. This is a must take course for introduction to deep learning.

Course content is very good. Andrew Ng's style of teaching is phenomenal. He has a knack for uncomplicating an otherwise complex subject matter. Highly recommended for anyone who is trying to understand the fundamentals of neural networks and deep learning.

I like this course so much, due to its bridge effect from theoratical inference to real implementation. Thanks Andrew for making such a good deep learning course for whoever wants to enjoy the charm of deep learning and witness how AI will change the world.

To me this course is absolutely perfect if you want to know how does neural network work from scratch. Very recommended! Make sure you've already know about python programming or some machine learning knowledge so you can catch up with this course pace. :)

Good practice exercises and clear lectures. Assembling the network step by step really helped me understand the linear algebra steps involved. I had some experience using APIs, but this course was very useful to understand what is happening under the hood.

A great, course that introduces sound fundamentals, to get started with basic vanilla neural network architectures. And the assigments give you a sense of accomplishement, that makes you feel confident about the implementation part of the neural networks.

Very useful. First I thought, that tasks are too complex in the beginning and too easy in the end. However now I think this is a course "feature", not a "bug", so you don#t scare of NN afterwards and ready to explore them yourself in the future. Thank you!

The course is designed in a way that a naive person to python coding and machine learning can easily understand the math part. I really appreciate Andrew Ng's efforts to make this course so comprehensive that I get to know a lot from this course. Thank you

Perfect course! Took me some time to finish due to work and what not and sadly, I lost the chance to finish the whole specialization using my student account but definitely has helped me learn and refresh some of the main cores in deep learning and Python!

I think this an excellent theorical-practical course. I had no problems going through the lectures and I found a lot of them reallly helpful. The exercises allowed me to pratice my python programming skills. I'm looking forward to complete the next course.

I thoroughly enjoyed this course, It was like a revision to what I learned a semester ago in the university, the assignments were refreshing and helped me to get a better understanding of the course materials, will continue to explore the remaining series.

Nice course where you learn all the fundamentals. You will understand how some algorithms, that are already developed and into libraries, work. The coding is in Python, I like it more than Matlab/Octave because you it is useful for developing real problems

The course was very structured and really helped me a lot to understand the backpropagation more clearly. Also, I now understand how to implement neural networks from scratch without using the inbuilt package so that I can now create my own neural network.

The combination of lectures, quizzes, and programming exercises, Andrew's course helped me gained a basic understanding of neural network and deep learning. After taking this course, I felt more prepared to lead a team to take on machine learning projects.

The programming exercises were very well structured. I was not planning to go through a lot of python training just to get the programming part done and thus the way everything was encapsulated allowed me to keep focus on the conceptual part of the program

This is a great course because it also focuses on how matrix multiplication is happening and what shapes my matrices should be in order to get computed properly. Information was laid out in a proper format and the exercises helped to strength the concepts.

This is the best course of Machine Learning and Deep Learning course for the beginner. I am in love with the teaching style of the instructor Andrew Ng. Kudos to the Coursera Team for making a such a platform to provide the world class teaching accessible.

Really appreciated to the professor for illustrating everything so clearly and very easily to accept. I think it is kind of an art if one could make a hard topic so interesting and acceptable. I am really enjoying the processing of learning this course. :)

The course is well organized and Andrew has made the basic ideas really clear. Also, the programming assignments is amazing which help you build a neural network almost hand in hand though I do not think it is necessary to put every thing in minute detail.

Thanks for driving me through the implementation details of a neural network model. I've been using these models for a while, and I understand how NN works mathematically, but I'm still able to learn a lot by combining coding and theory in the same course!

I am extremely happy with this course. The professor is amazing! I wish all my professors throughout my academic years were like him. The way the course is being thought is engaging and the material provides all the necessary knowledge without being scary.

Fairly simple course.

Loved the lectures from the professor.

I found the back-propagation part a bit hard to understand when finding the gradients.

The programming exercises were straightforward and easy.

Overall, I got a good idea of neural networks basics.