input_size: int = 784
output_size: int = 10
hidden_node_size: int = 64
num_hidden_layer: int = 1
learning_rate: float = 0.1

# data_file_100: str = "C:\projects\multi-layer-neural-network\data\minst_train_100.csv"
# data_file: str = "C:\projects\multi-layer-neural-network\data\mnist_train.csv"
#
# test_file_10: str = "C:\projects\multi-layer-neural-network\data\minst_test_10.csv"
# test_file: str = "C:\projects\multi-layer-neural-network\data\mnist_test.csv"

# input_layer_weight_file: str = "C:\projects\\neural_network_flask\weights\input_weight_train.csv"
# output_layer_weight_file: str = "C:\projects\\neural_network_flask\weights\output_weight_train.csv"
# hidden_layer_weight_file: str = "C:\projects\\neural_network_flask\weights\hidden_weight_train.csv"

input_layer_weight_file: str = "weights\input_weight_train.csv"
output_layer_weight_file: str = "weights\output_weight_train.csv"
hidden_layer_weight_file: str = "weights\hidden_weight_train.csv"