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Replication Data for TensorFlow Enabling a Convolutional Neural Network

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for TensorFlow Enabling a Convolutional Neural Network
 
Identifier https://doi.org/10.7910/DVN/DYFIHE
 
Creator Singleton, Alex
 
Publisher Harvard Dataverse
 
Description The tensor set, comprising a multidimensional array. For each postcode, there are 4 dimensions: red, green, blue and near infrared. The values were extracted from Sentinel 2 data in a square 160m buffer around each postcode centroid. The tensor set can be input into TensorFlow to enable the application of a Convolutional Neural Network.
 
Subject Social Sciences
 
Contributor Singleton, Alex