Index
Test with a set of inputs, and a set of desired outputs. Test a set of training data and calculates the MSE for the training data. Train one iteration with a set of inputs, and a set of desired outputs. Standard backpropagation algorithm, where the weights are updated after calculating the mean square error for the whole training set. Train one epoch with a set of training data. Standard backpropagation algorithm, where the weights are updated after each training pattern. Trains on an entire dataset, for a period of time. Does the same as train_on_data, but reads the training data directly from a file. A more advanced batch training algorithm which achieves good results for many problems. A more advanced batch training algorithm which achieves good results for many problems. The Training algorithms used when training on training_data with functions like neural_net::train_on_data or neural_net::train_on_file. Encapsulation of a training data set struct fann_train_data and associated C API functions. Default constructor creates an empty neural net. Provides automatic cleanup of data. |