DeepFRET model training and test data

2019-12-24T06:54:12Z (GMT) by 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"]