note 123271 added to function.fann-train-epoch

This code demonstrates training XOR using fann_train_epoch and will let you watch the training process by observing a psudo MSE (mean squared error). Other training functions: fann_train_on_data, fann_train_on_file, fann_train. fann_train_epoch is useful when you want to observe the ANN while it is training and perhaps save snapshots or compare competing networks during training. fann_train_epoch is different from fann_train in that it takes a data resource (training file) whereas fann_train takes an array of inputs and a separate array of outputs so use fann_train_epoch for observing training on data files (callback training resources) and use fann_train when observing manually specified data. Example code: <?php $num_input = 2; $num_output = 1; $num_layers = 3; $num_neurons_hidden = 3; $desired_error = 0.0001; $max_epochs = 500000; $current_epoch = 0; $epochs_between_saves = 100; // Minimum number of epochs between saves $epochs_since_last_save = 0; $filename = dirname(__FILE__) . "/xor.data"; // Initialize psudo mse (mean squared error) to a number greater than the desired_error // this is what the network is trying to minimize. $psudo_mse_result = $desired_error * 10000; // 1 $best_mse = $psudo_mse_result; // keep the last best seen MSE network score here // Initialize ANN $ann = fann_create_standard($num_layers, $num_input, $num_neurons_hidden, $num_output); if ($ann) { echo 'Training ANN... ' . PHP_EOL; // Configure the ANN fann_set_training_algorithm ($ann , FANN_TRAIN_BATCH); fann_set_activation_function_hidden($ann, FANN_SIGMOID_SYMMETRIC); fann_set_activation_function_output($ann, FANN_SIGMOID_SYMMETRIC); // Read training data $train_data = fann_read_train_from_file($filename); // Check if psudo_mse_result is greater than our desired_error // if so keep training so long as we are also under max_epochs while(($psudo_mse_result > $desired_error) && ($current_epoch <= $max_epochs)){ $current_epoch++; $epochs_since_last_save++; // See: http://php.net/manual/en/function.fann-train-epoch.php // Train one epoch with the training data stored in data. // // One epoch is where all of the training data is considered // exactly once. // // This function returns the MSE error as it is calculated // either before or during the actual training. This is not the // actual MSE after the training epoch, but since calculating this // will require to go through the entire training set once more. // It is more than adequate to use this value during training. $psudo_mse_result = fann_train_epoch ($ann , $train_data ); echo 'Epoch ' . $current_epoch . ' : ' . $psudo_mse_result . PHP_EOL; // report // If we haven't saved the ANN in a while... // and the current network is better then the previous best network // as defined by the current MSE being less than the last best MSE // Save it! if(($epochs_since_last_save >= $epochs_between_saves) && ($psudo_mse_result < $best_mse)){ $best_mse = $psudo_mse_result; // we have a new best_mse // Save a Snapshot of the ANN fann_save($ann, dirname(__FILE__) . "/xor.net"); echo 'Saved ANN.' . PHP_EOL; // report the save $epochs_since_last_save = 0; // reset the count } } // While we're training echo 'Training Complete! Saving Final Network.' . PHP_EOL; // Save the final network fann_save($ann, dirname(__FILE__) . "/xor.net"); fann_destroy($ann); // free memory } echo 'All Done!' . PHP_EOL; ?> ---- Server IP: 208.43.231.9 Probable Submitter: 172.119.3.190 ---- Manual Page -- http://php.net/manual/en/function.fann-train-epoch.php Edit -- https://master.php.net/note/edit/123271 Del: integrated -- https://master.php.net/note/delete/123271/integrated Del: useless -- https://master.php.net/note/delete/123271/useless Del: bad code -- https://master.php.net/note/delete/123271/bad+code Del: spam -- https://master.php.net/note/delete/123271/spam Del: non-english -- https://master.php.net/note/delete/123271/non-english Del: in docs -- https://master.php.net/note/delete/123271/in+docs Del: other reasons-- https://master.php.net/note/delete/123271 Reject -- https://master.php.net/note/reject/123271 Search -- https://master.php.net/manage/user-notes.php