Great Course Anderw and team. Planning to try out a face recognition use case in office before the next course on sequence models start :)

Thanks again

This course is definitely tougher than the first three courses. Challenging but worth it.Content is great, but videos could be trimmed to cut retakes.

Very Good Course. Best place for those who are new to deep learning and want to explore CNN and to get insights on both theory and practical knowledge

Great labs and course content. Overlaying image content with a style was thoroughly enjoyable. Like all of the courses, it is well-constructed. Bravo!

I did few projects based on object detection and face recognition, but after completing this course only I get a better understanding of these topics.

its is one of the best course on coursera to learn neural network i have learn a lot i hope this will help me in my professional carrier and other too

what can I say, this is another fantastic course. Andrew Ng does such a fantastic job of simplifying yet not trivializing some pretty complex topics.

The in the specialization. Although if there could also be a tutorial on how to input or create your own dataset of images, it would be of great help.

Excellent course, thought in a very pedagogical way by Andrew Ng. You can really save a lot of time with a good Professor on these difficult subjects.

Courses content is as inviting as the first three courses. It's a good way to provide the essaies' link for those who want to dig deeper in research.

Good course to get started with Convolutional neural networks. Learned a lot of network architecture. My personal favorite part was Object detection.

Great course with lots of state of the art practical projects. Professor Andrew Ng can explain complicated topics with simple/intuitive explanations.

An excellent course which made me familiar with the state-of -art techniques in Computer Vision. Highly recommend it for Computer Vision enthusiasts.

Great class, lots of practical tips & skills learned. Just wish the programming assignments were a bit more challenging (as in starting from scratch)

I enjoyed the course. Taking it at my pace and gaining understanding or how various neural network architectures work and the intuition behind them.

It was nice learning various aspects of CONV networks. Also, the programming assignments was helpful for nice learning in terms of practical concept

This specialization, especially this course helped me build my network for my bachelor's thesis from scratch! Thanks Andrew! Thanks Deeplearning.ai!

Excellent course to gain clear conception on all basic things related to convolutional Neural Network and to use the same in practical applications.

Computer Vision has always been of great interest to me and this course lit up my way of approaching closely to become a ML engineer as of my dream.

I had a wonderful time working on this course. Even though i had worked a lot on CNNs this course was still useful in understanding the fundamental.

this was harder than previous ones, but it was required. The Neural Style Transfer in the last week was not explained well but it was okay. Thankyou

This course breaks down the very difficult concepts into parts to ensure that the students learn and are able to apply their learning for their work

Extremely insightful and great eye-opener: I've been able to come into a good basis for understanding the theory and practice behind usage of CNN's.

This course really made me feel like working on an actual project rather than just going through course material and solving some cooked up problems

I was new to CNN and I have gained a introduction with which I can go for research in this area which excites me. Thank you Andrew for such a course