Hi the following c-code utilizing the 'read()' man 2 read method cant read in files larger that 2gig.
Hi I've found a strange problem on ubuntu64bit, that limits the data you are allowed to allocate on a 64bit platform using the c function 'read()'
The following program wont allow to allocate... (14 Replies)
Hi
I am writing a bash script on Solaris, that should take n arguments, either appended to the script or taken as output from the last command (similar to grep). What I don't want is that the script waits for user input. In other words:
Possibility 1:
script.sh arg1 arg2 arg3 ...Possibility... (4 Replies)
Hi all,
if I have a dir with a mixture of files and directories in it and one of the directories *only* has read permission for the owner and I am not the owner - will I see it with an 'ls -la'.
I do not have access to a unix box at present to try this out.
Any thoughts gratefully received (1 Reply)
FANN_CASCADETRAIN_ON_DATA(3) 1 FANN_CASCADETRAIN_ON_DATA(3)fann_cascadetrain_on_data - Trains on an entire dataset, for a period of time using the Cascade2 training algorithmSYNOPSIS
bool fann_cascadetrain_on_data (resource $ann, resource $data, int $max_neurons, int $neurons_between_reports, float $desired_error)
DESCRIPTION
The cascade output change fraction is a number between 0 and 1 determining how large a fraction the fann_get_MSE(3) value should change
within fann_get_cascade_output_stagnation_epochs(3) during training of the output connections, in order for the training not to stagnate.
If the training stagnates, the training of the output connections will be ended and new candidates will be prepared.
This training uses the parameters set using the fann_set_cascade_..., but it also uses another training algorithm as it's internal train-
ing algorithm. This algorithm can be set to either FANN_TRAIN_RPROP or FANN_TRAIN_QUICKPROP by fann_set_training_algorithm(3), and the
parameters set for these training algorithms will also affect the cascade training.
PARAMETERS
o $ann
-Neural network resource.
o $data
-Neural network training data resource.
o $max_neurons
- The maximum number of neurons to be added to neural network.
o $neurons_between_reports
- The number of neurons between printing a status report. A value of zero means no reports should be printed.
o $desired_error
- The desired fann_get_MSE(3) or fann_get_bit_fail(3), depending on which stop function is chosen by fann_set_train_stop_func-
tion(3)RETURN VALUES
Returns TRUE on success, or FALSE otherwise.
SEE ALSO fann_train_on_data(3), fann_cascadetrain_on_file(3).
PHP Documentation Group FANN_CASCADETRAIN_ON_DATA(3)
02-11-2009
