Convolutional Neural Networks

The course content is great, I felt link the programming assignments should have more information on running the Tensorflow sessions and (optional )information for people who are not familiar with Tensorflow would be great.

Out of the four courses I have taken in the deepai sequence this is the best one! This course got to the heart of the methods that researchers are implementing and also dropped you into the programming using Tensorflow. As noted by some other reviewers there are places where more instruction could be helpful, but I felt that this course obtained a good balance between information and challenging and also between concepts and hand-on implementation. A couple of the prior courses could be merged and then this would be the 2nd or 3rd course in the sequence which would be much better in getting students to complete the projects and all courses.

Content is great, but videos could be trimmed to cut retakes. A big issue is that guidance for programming assignments abruptly drops off from extreme hand-holding to being thrown in the deep end.

Some parts of the course seemed incomplete to me, wanted more information on why things work exactly as described. Last week assignments have a number of uncertainties/bugs.

I think it's a good idea to remove repeated parts in the videos. Also, put all pieces toguether to give a better overview of the object detection solution

This course is definitely tougher than the first three courses. Challenging but worth it.

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.

Great lectures but the programming assignments feel as if it is testing your proficiency with tensorflow which is neither formally covered in the lecture nor the most intuitive framework to understand so you'll spend so much time digging through convoluted tensorflow documents and qna and whatnot to debug your codes that you would rather learn tensorflow formally first and then take this course and still end up finishing it faster than only going through this course only but it is only the programming assignments that basically assume that you are already familiar with the tensorflow framework so if you are only going to go over the video lectures it gives a great overview of how CNN works and many useful algorithms which can applied to a assortment of situations

Good Explanation.

I was always curious about the "CNN" concept every time it emerged in the news. Thanks to Prof. Andrew's mild explanation, now I get a straight intuition into it!The assignments were very amusing in this section. It was not hard to get a pass with the help of forums, but understanding every step is more important I think. So I will come back to practice more.

Amazing course and content

Means a lot.