My implementations of the projects in Udacity's Computer Vision Nanodegree. For the first project the goal is to create a convolutional neural network to recognize facial keypoints trained on the YouTube faces dataset. The second project's goal is to generate descriptive and accurate captions for images using a combination of CNN's and RNN's traind on the COCO dataset. The final project is an implementation of SLAM(simultaneous localization and mapping) a technique used in robotics and autonomous systems.
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My solutions to some computer vision problems solved during my time in Udacity's Computer Vision Nanodegree
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