Advanced Computer Vision with TensorFlow
DeepLearning.AI · View on Coursera ↗
Taught by Laurence Moroney, Eddy Shyu
Data ScienceComputer Science
About the course
In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection. b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own rubber duck images. c) Implement image segmentation using variations of the fully convolutional network (FCN) including U-Net and d) Mask-RCNN to identif
The dissent
The most-upvoted critical review (6 votes, 3.0★).
“The concepts and the teaching is ok. The labs are basically a follow the code, with no great code challenge”
Coursera's 4.7 comes from 536 ratings. Of those, 1.5% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗