Really the main challenge of this course to implement codes with appropriate dimensions. I liked how it was made very clear during the instructions. There is one point in the backward propagation in deep part of the implementation where dA of the previous layer is indexed by the current layer. That was a bit confusing.

I had some issue with the automated (I assume) grading system. Aside from that, I found the course material to be very informative, and the assignments both challenging a representative of the material covered in the course. I look forward to continuing along with the rest of the courses in this track. Thanks so much!!

I really enjoyed the course. It was amazing to understand how neural networks work from such a fundamental perspective and it was great.

My only suggestion would be to include optional videos with all the Math included ( or references posted) as that would be useful in going through all the nitty gritty details.

Srikant

Great introductory course into deep learning. The course is well designed, starting from the simplest type of neural net until finally building an actual deep neural net as the final project. Dr Ng does a great job of patiently going through the fundamentals to ensure a solid foundational understanding of the material.

It was a great time passing the course which provided the guided projects and programming assignments that helped to comprehend the learned subject. Not only did it assist me to enhance my perspective of AI, but also provided me the fully applicable Artificial Intelligence materials. Thanks from the depth of my heart.

By far the hardest course I have ever taken in my life, but totally worth it! I had completely zero python or any coding experience prior to this, so it was a very steep learning curve. Coming from Finance background as a fundament research analyst, I want to expand my knowledge and see how I can apply it in my work.

Learning this online course was a great experience for me, as the first course which I passed in Coursera. Dr. Andrew Ng teaches deep learning and neural networks with such a high clearance and quality that you can certainly be sure you will be highly skilled and knowledgeable in this skill, after passing this course.

I had previously completed the Machine Learning course by Andrew which was really helpful to understand the foundations of neural networks in this new course. I liked how all the videos were very clear and the programming assignments focus on understanding the logic behind neural networks and not in python programming

One of the best courses over there, which sets fundemental understanding of the algorithms behind the Deep Learning. Even more, one can build them from scratch! Highly recommended. I also recommend to try other data and coding from assignements on local computer, using concepts given here to solidify knowledge gained!

This is the best course I have come across on deep learning and neural networks. After this course, I now understand the fundamentals and intuition upon which deep learning is built. I am now in a better position to further my studies. Can't wait to start building some cool projects of my own after this study journey.

This course is a perfect follow up of my previous "Machine Learning". It's clearly perfected as regards the assignments, it was a great pleasure to complete them.

Still without previous introduction with "Machine Learning" I'm afraid I'd have had here some difficulties sometimes to follow the lecture and the formulas.

This course helped me to understand the neural network as the compositional functions (from mathematics). For me, this course wasn't difficult as I have a background in Calculus and Linear Algebra and little experience in programming. Hence, if you have experience in math and programming this course will be very easy.

Awesome. Thank you Prof. Andrew Ng and everyone for your hardwork. Every notebook assignment was vey well crafted. Back propagation/derivatives was the hardest part. You may consider making Back propagation/derivatives easier. I had to watch back propagation video multiple times while coding to understand the concept.

Thank you very much for this valuable course. I watched the videos before, but I did not enroll in the course, so I couldn't do the assignments. Now, I see how much the difference is between when you just watch the tutoring videos and when you do the assignments and write codes. I really appreciate it. thanks a lot :)

This course focuses on essential aspects of Deep Learning while also providing enough resources for stronger students to deep dive into technical aspects. Do watch the optional videos and take note on extra resources/recommendations to get the most out of this class. Kudos to Andrew the team who made course possible.

The class is great, it teaches me why a neural network works so well. However, the derivative in the backpropagation is a little obscure to me in the class. I understood it by learning from the forum. The dA and dZ stand for the derivative of loss function while dW and db stand for the derivative of the cost function.

Recommended for the people who want to learn Deep Learning. You will learn how to create an L-Layer NN using scratch. Andrew gave great idea about NN, forward propagation, Back propagation. Why wee need back prop and there are so many basic things that we should know in order to learn Deep Learning.Overall I enjoy it.

One of the best courses on Neural Networks and intro to Deep learning. Never have understood Neural networks so well before this course. Assignments and challenging and interesting. Lot of efforts must have been made to create the assignments. I also learned about python best practices from the programming assignment.

I really enjoyed this course! Professor Ng's presentation of the material was incredibly clear, the conversations with experts in the field were very interesting, and I learned a lot through the application oriented presentation that I hadn't previously internalized as well through other presentations of the material.

This is a very nice course to get started with Deep Learning. The course is well structured, expects pretty much no prerequistes and takes you through the basics of DL at an easy-to-follow pace. All the assignments are designed well to get hands-on experience, although I wish the problems were a little more involved.

I completed the entire specialization and having nothing but good things to say. Highly recommend it! Lectures are engaging, and Andrew does a fantastic job explaining some very complex topics. Programming assignments are challenging in a good way. You’ll really feel like you’ve learned a lot by the time you’re done.

I recommend this course to anyone who wants to learn deep learning. There are many other sources online but the content in here are way superior. Dr. Ng is a treasure, so take your chance to join this course. What I really like about this course is the programming assignments, they are designed based on the lectures.

Amazing course. Concepts couldn't have been explained in an easier way. The programming challenges were a little tricky, but I cleared my concepts by debugging my code. Also, the mentors on the discussion were really helpful when I was stuck in the exercises. Overall a highly rich experience with the great resources!

Awesome course to get you started with the intuition behind what's happening. It's worth taking a a second to appreciate what exactly is being accomplished with a little bit of calculus and linear algebra. Andrew really takes the time to make sure the learner can follow the thread of what's happening. Thank you, sir.

This course is the best when starting out deep learning. I have had some knowledge regarding ML and DL prior to starting this course but this course taught me Deep Learning in ways I have not experienced before and after completing this course I now see Deep Learning in a new way and am ready to step further into it.