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
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Identifier |
https://doi.org/10.7910/DVN/DYFIHE
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Creator |
Singleton, Alex
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Publisher |
Harvard Dataverse
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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.
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Subject |
Social Sciences
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Contributor |
Singleton, Alex
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