Excellent explanations, and a lot of interesting and practical examples. Recommended if you have some experience with ML literature.

Excellent hands on course... if you have previously taken a more theoretical neural network course (for example Andrew Ng's classes)

It's been a great journey about Convolutional Neural Networks. The most interesting thing of these course is Exercise on notebooks.

This course is useful to those who have basic understanding of computer vision and want to know how they can use TensorFlow in it.

Great course. Thank you, Laurence.

However, I should admit submitting the exercises is a pain sometimes. Discussions help though.

The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!

This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.

I enjoyed this course a lot, but I missed the code evaluation step. On the other hand, the content was as good as it has been.

Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.

It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.

course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.

Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.

Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.

Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization

Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.

Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!

A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.

Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!

This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.

Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.

This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.

a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.

Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.

Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.