Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Обновлено 2019-07-25 06:53:28 +03:00
A tutorial demonstrating how to train a neural network to play hangman using CNTK
Обновлено 2017-11-02 21:07:18 +03:00