DeepLearning.AI · on Coursera
Implements object detection, image segmentation, and model interpretability (class activation maps, saliency) in TensorFlow. For TensorFlow users who already know CNN basics and want to ship detection and segmentation models.
Developers with deep learning basics. This is an intermediate course in Computer Vision, running about 2 weeks at 10 hrs/week (~14 hours).
Free to audit · certificate with Coursera subscription (from $49/mo). Financial aid available; part of the TensorFlow: Advanced Techniques Specialization. Seen 2026-11-01.
Covers image basics, OpenCV and Pillow processing, classical classifiers, CNNs, and object detection, ending with a deployed web app project. Suited to developers who want applied vision skills without the graduate-level math of CS231n.
The definitive computer vision deep learning course, with public notes and assignments on CNNs, training tricks, detection, segmentation, generative models, and vision transformers. Self-study it when you want to build vision systems from scratch rather than only call APIs.