DeepFRET model training and test data
datasetposted on 24.12.2019 by Johannes Thomsen
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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"]