The instructor is very knowledgeable about the topics, the way of his teaching is very nice . I understood a lot of notions and terminologies used in Deep Learning. The lectures are clear and satisfactory. Eagerly waiting to see the next upcoming courses

I think the tutorials is sufficient and I have learned a lot from this course. Although I didn't finish all the assignment in time. I try my best to catch up the course and finally finished it.Thanks for give me the chance to get into the new world of AI

Awesome course! It really takes you from the bottom up and gives you concrete understanding of how neural networks work and what happens under the hood. Thank you Prof. Ng! I am looking forward to doing my next course in the Deep Learning specialization.

I really had fun learning this course. I knew most of the subjects but I used to code with for-loops, vectorization in this course was the most helpful section and practicing it was very essential for me. Thank you Coursera for making this a possibility!

Excellent course content and arrangement, it is easy to follow and delivers the concepts in an easy to understand manner. The test exercises are well structured and provide a hands on experience of creating a deep neural network to classify cat images ;)

Exceptional Introduction to Deep Learning. 2 years after completing the Machine LEarning course from Andrew, it felt like catching up with an old friend. This is really amazing.

My only development comment would be that the exercise are a bit too guided.

Excellent Course, explained so well. Dr. Anrew has made it so simple to understand! Contents were quite well organized and sufficient for learning. Exercises are also very good. This has motivated me to do the next course in Deep Learning Specialization.

The course is well prepared and executed. I was able to grasp the fundamentals quite well. However, if an advanced path could also be added which directs the students to read seminal research papers in the area would be good option to add. Thanks Andrew!

Good course, learn about the derivatives chain rule and how that relates to back propagation algorithm.

If you want to understand the formulas of the derivatives, you must do the calculus yourself.

Some ready-to-use Python implementations of an L-layer NN.

Great intro to deep neural networks. Lectures were clear, especially liked the 'high level' explanations of the more complex calculus and linear algebra for non-calculus gurus. The homework was about the right level and helped reinforce the key points.

I have watched some classification tutorial on machine learning and was wondering what that the model is actually doing, what those activation functions are doing.

After taking this course, I got answer for those questions. Amazing course.

Thank you!

Sometimes quite confusing to grasp the concepts for a newbie like me....but patiently following the instructions included in the assignments and the immediate feedback from the forum was really resourceful. This is a great work put together by the team.

A fantastic course that helps you build the foundation of deep learning! The assignments in the course tackle real life applications - this helps to appreciate the applications of deep learning, and to better understanding the concepts in deep learning.

It was my first course of this kind as i m from diff backgound.Still tutors way of explaining things was so interesting and easy that anyone can understand. I learnt a lot from this course and will try to impliment my learning in practical world as well

Good content presentation - simple and workable. The juniper notebook was at times giving trouble with connection issues and I had to reopen the assignment and run from the beginning to get to where I was, My week 4 first assignment has a grading error.

A very well-designed course that starts from the fundamental and concepts of logistic regression to two-layer neural network, and eventually to deep neural network. The programming exercises also step through these concepts to build them from ground up.

This has been a great course. I have also heard about Deep Learning and thought how could a machine learn on it's own. But this course has beautifully answered my hows and whys. This course was a great kick start for me to start learning Deep Learning.

It is really a great course , with in-depth explanation , here you can learn to build everything from ground. The best thing about this course is the practice exercise , that it provides at the end week. These exercises actually strengthen you concepts.

Great course, I learned a lot. I had previously took Andrew Ng's Stanford Intro to Artificial Intelligence Coursera course and this was a great followup. I think it was easier to do this in Python (even though I'm new to Python) rather than in MatLab.

This is one of the best course I have taken and I can confidently recommend it to anyone. The theory well simplified for anyone to comprehend and the programming exercises and quizzes were awesome to aid comprehension. I look forward to the next course.

I learned more things than I though and just for that it's awesome. Often, when you pay for online courses, you learn less than expected. Here, it's the opposite. And thanks to Andrew Ng to speak slowly in this video for the non-native English speakers.

Very well designed course for people interested in Neural Networks and Deep Learning. The best parts are the assignments which explains you in practical how to achieve the theory learnt from sessions. I will definitely recommend this course to my peers.

Well paced, builds up and reinforces the course concepts so that by the end you have a solid understanding of the material. Does a great job of simplifying the maths but providing enough information for those so minded to work it through for themselves.

This introduction level course is extremely helpful to enhance your fundamental knowledge and skills in neural networks. It's easy to understand for people know nothing about NN, but also could be a quick review for experienced experts in deep learning.

Terrific course. Solid introduction to neural networks and deep learning.

The course is paced well with appropriate quizzes and programming assignments.

Programming assignments are well setup with ample notes and student forums to help with any problems.