Pytorch_CNN-RNN/config.toml

#Configuration file for the Alzheimers DL model

[paths]
mri_data = '/data/data_wnx1/_Data/AlzheimersDL/CNN+RNN-2class-1cnn+data/PET_volumes_customtemplate_float32/'
xls_data = '/export/home/nschense/alzheimers/Pytorch_CNN-RNN/LP_ADNIMERGE.csv'

#CHANGE THESE BEFORE RUNNING
model_output = '/export/home/nschense/alzheimers/Pytorch_CNN-RNN/saved_models/'
plot_output = '/export/home/nschense/alzheimers/Pytorch_CNN-RNN/plots/'
training_record_output = '/export/home/nschense/alzheimers/Pytorch_CNN-RNN/training_records/'
testing_record_output = '/export/home/nschense/alzheimers/Pytorch_CNN-RNN/testing_records/'

[cuda]
device = 1

[training]
batch_size = 64
epochs = 30
learning_rate = 0.0001
runs = 1

[dataset]
validation_split = 0.3

[model]
name = 'alzheimers+cnn'
droprate = 0.5