Udacity - Computer Vision Nanodegreerar -

The curriculum is divided into three primary sections, totaling approximately of coursework:

: Implementing SLAM to allow an autonomous vehicle to map its surroundings while tracking its own location. Prerequisites and Commitment Udacity - Computer Vision Nanodegreerar

: Explores complex architectures such as region-based CNNs, the YOLO algorithm for object detection, and combining CNNs with Recurrent Neural Networks (RNNs) for image captioning. The curriculum is divided into three primary sections,

This is an program. To succeed, students should have: the YOLO algorithm for object detection

Students complete three major reviewed projects to build a professional portfolio: