DeepFRET model training and test data

Published: 20-12-2019| Version 1 | DOI: 10.17632/rbgdbd3tg5.1
Johannes Thomsen


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"]