Content of the course and assignments are pretty good. Found some problem in submitting last week's assignments(read on discussion forum that coursera is working to resolve it).

This is a great course. Andrew Ng is a gifted lecturer. The course was well presented and the materials are easy to follow. I expect a similar lecture on reinforcement learning.

I appreciate this great opportunity to learn from you while I couldn't get to study at Stanford as an international from a developing country, this is a dream come true for me!

wonderful course with well organized course content and assignments designed in a elegent manner, I learned a lot form this course as well as from deep learning specialization

This course explains different CNN architectures, object detection, face recognition, neural style transfer in a very effective way; Great course to understand concepts of CNN

In his usual style, Andrew takes us into the world of Computer Vision. The main topics in the field are covered sufficiently which enables us to move on to more recent avenues.

This is the computer science equivalent of the Feynman lectures. An introduction to the state of the art that is truly approachable and clear by one of the giants in the field.

I really like the case studies with famous models as examples, that swiftly brings me to a very good overview what each different tasks can covnet contribute to. Great course!

Before enrolling, i read the reviews that programs have many bugs. But as on June,2020 i didn't find any bugs. Everything is working fine. Good course to learn about Convnets.

This Course will give you a brief to intermediate understanding about convolution network. You will then have to practice on different data sets to have a firm grip on ConvNet

It's very useful, in this course, it show us not only the details of theory, but also many popular example of neural networks and algorithms! very good course, worth to learn.

Not only learned the concepts behind CNNs but also understood current important applications using CNNs. Thank you for explaining such complex topics in a fun and easy manner.

Ver interesting. Great course. I've been learning Deep Learning for some time, this course had the best explanations that I have found. And Andrew Ng its just a great teacher.

This is the most exiting course that i have taken in this specialization. I came know how to build many CNN models. Autonomous car driving most exited me in the whole course.

Very interesting. More challenging and complex than previous courses in the same specialization. This course clarifies how CNNs could be really helpful in real world context.

Great Course. Goes in-depth about convolutional networks. And try to explain the state of the art model archetypes as well. (at even Dec 2019 these models are worth studying)

As with previous courses, I really appreciated the teaching of Andrew: interesting, well explained, enjoyable, easy to understand even for a non natif English speaker as I am

Excellent material and presentations!

The assignments are more challenging this time, so don't expect passing them too easily.

Looking forward to the next course in the series!

This has been the best course in the deep learning specialization so far. There is a lot of content to digest, but it's broken down expertly by the lectures and assignments.

This course is one of "the best resources" for learning the deep learning conceprs applied to convolutional Neural Networks. Highly recommended for the future aspirants !!!

I really enjoyed the course a lot. Though I have done projects in Computer Vision from before, yet this course has a lot to offer. Learning never hurts. It's a great course.

This course is amazing. This teaches about how the state-of-the-art Computer Vision systems work. This courses also teaches us how to implement these techniques in real life

Such a nice course! I really enjoyed being taught how CNN algorithms work and how to implement them by myself, thank you so much.

Now It's time to implement my own projects!

I have learnt about the CNN from basics to advanced applications and now I am able to read papers based on CNN comfortably. Thank you for andrew ng for guiding this course

videos were really amazing and easily understood the assignment tutorial(coding) must be done as videos hence making a better understanding that would be more helpful i feel