This Nanodegree program is broken into three main sections:
1- Intro to Computer Vision, which covers topics like image processing, feature extraction done manually or through training a convolutional neural network (CNN) using PyTorch.
2- Advanced Computer Vision and Deep Learning, which is all about advances in deep learning architectures like region-based CNN's, YOLO and single-shot detection algorithms, and CNN's used in combination with recurrent neural networks.
3- Object Tracking and Localization, which covers how a robot can move and sense the world around it, creating a visual representation of the world as it navigates.
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