Convolutional Neural Networks

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

Great Course Overall\n\nOne thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

Wonderful course. Covers a wide array of immediately appealing subjects: from object detection to face recognition to neural style transfer, intuitively motivate relevant models like YOLO and ResNet.

very easy to understand and helped my understanding in Deep Learning-based computer vision. Yet, this course will need to be updated with new developments in the future (to catch up with the trend).

Too much hand-holding during assignments, although still very good directions. Obviously the issue with the final programming assignment needs to be addressed. Fantastic lecture material, as always.

This is one of the best courses for CNNs. This gives a very deep understanding of the concepts and helps to understand the brains behind the CNNs and their working in application based environments.

A big thank you to Professor Andrew and his team for structuring this course and introducing the world of ConvNets to me. I found the video lectures easy to understand and the exercises intriguing.

This is a very good course to learn about Convolutional Neural Networks. It helps to keenly understand the concepts of CNN and their implementations. Thank you Coursera for offering me this course.

The content is not as high quality as the previous courses. Im still fuzzy on some of the material. But this is still world class, please accept my gratitude for this unprecedentedly great content!

The videos were very good. I came into the course knowing a bit from doing my own readings and the material covered in the course really helped me understand how convolutional neural networks work.

This course was an excellent hands-on with CNN's. It provides a brief understanding as well as the implementation of these networks. I really enjoyed this course and the applications were amazing.

An excellent course The exercises were in a particular value. Just one issue: the automatic grader: please, please make it a bit more robust to minor numerical differences and make it more verbous

Very Excellent Course. I have learned a lot of very new networks and their implementation. I also practice Tensorflow and Keras here. In addition, I found the discussion board is very very useful!

Very robust introduction to Convolutional Neural Networks. The lessons are, as always, very concise and the programming exercises help consolidate anything that might have not been easily grasped.

Great material! I felt the last week was not as interesting or strong as the other ones, but I think I came out with a good idea of what ConvNets are and how to apply them in TensorFlow and Keras.

Although this course isn't complete for practical purposes, it gives a comprehensive review of CNNs and all the other things required for starting with computer vision systems using deep learning.

Course is good. It will be really awesome if there is a sample example scenario of assignment with code to practice before going to the assignment directly, so that learners can learn very easily.