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Learner Reviews & Feedback for Advanced Computer Vision with TensorFlow by DeepLearning.AI
516 ratings
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 identify and detect numbers, pets, zombies, and more. d) Identify which
parts of an image are being used by your model to make its predictions using class activation maps and saliency maps and a...
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 identify and detect numbers, pets, zombies, and more. d) Identify which
parts of an image are being used by your model to make its predictions using class activation maps and saliency maps and a...
Top reviews
EN
Oct 1, 2021
I have learnt many useful computer vision algorithms and more importantly applied them myself. In my mind, practical sessions provided during the course makes it one of the best in Coursera platform
LD
Mar 23, 2023
This course is amazing. It is introduced the most important topics in Computer Vision nowadays: from object detection to generative networks. This is a must-to-do in any capacitation on AI field.
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76 - 76 of 76 Reviews for Advanced Computer Vision with TensorFlow
By Marco
•Mar 15, 2025
The simple fact google colabs resources are not included makes this course one star