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udacity-projects

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proactive early-warning system that integrates deep learning with existing traffic camera networks. By continuously feeding live images into the classifier, the system detects hazardous smog levels. This output can be used to instantly alert human drivers allowing them to automatically adjust before encountering the hazard.

  • Updated Nov 1, 2019
  • Jupyter Notebook

2 Dog Breed Classifiers; one made from scratch and another from pretrained VGG16, for Udacity DLND, made with ❤️ in Pytorch. Do 🌟 the repo and show some love. 🚀

  • Updated May 29, 2020
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