DeepFRET model training and test data
Published: 20 December 2019| Version 1 | DOI: 10.17632/rbgdbd3tg5.1
Contributor:
Johannes ThomsenDescription
Training and test data for DeepFRET neural network model training, saved as compressed NumPy binaries. All X (input) is formatted as tensors of shape (n, 200, 3), and y (target class) data as tensors of shape (n, 200, 1) where n is the number of samples. Each file can be opened with np.load(path)["arr_0"]
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Categories
Machine Learning, Time Series