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GitHub / ManinderpreetPuri / Predicting-forecast-cover-in-region-using-CNN--Debugging-Neural-Networks

In this project I used cartographic variables of small regions of forest (30m x 30m) to predict the type of forecast cover in each region. Example cover types include: spruce/fir (type 1), lodgepole pine (type 2), etc.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ManinderpreetPuri%2FPredicting-forecast-cover-in-region-using-CNN--Debugging-Neural-Networks

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 73.2 KB
Dependencies parsed at: Pending

Created at: almost 4 years ago
Updated at: over 1 year ago
Pushed at: about 3 years ago
Last synced at: over 1 year ago

Topics: cnn-model, neuralnetworks, predictive-modeling

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