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Results of 41 - 50 of about 74 for [SIMILAR] 16 1024 4096 WITH 30993 cascadetrain W... (0.054 sec.)

Create a SVMModel based on training data 0: « SVM::setOptions SVMModel » PHP Manual SVM Create a SVMModel based on training data SVM::train (PECL svm >= 0.1.0) SVM::train — Create a SVMModel based on training data 説明 public svm::train ( array $problem , array $weights = ? ): SVMModel Train a support vector machine based on the s ...; https://man.plustar.jp/php/svm.train.html - [similar]

Calculate input and output scaling parameters for future use based on training d... 0: « fann_set_sarprop_weight_decay_shift fann_set_train_error_function » PHP Manual Fann 関数 Calculate input and output scaling parameters for future use based on training data fann_set_scaling_params (PECL fann >= 1.0.0) fann_set_scaling_params — Calculate input and output scaling paramet ...; https://man.plustar.jp/php/function.fann-set-scaling-params.html - [similar]

Returns the cascade candidate change fraction 0: « fann_get_cascade_activation_steepnesses fann_get_cascade_candidate_limit » PHP Manual Fann 関数 Returns the cascade candidate change fraction fann_get_cascade_candidate_change_fraction (PECL fann >= 1.0.0) fann_get_cascade_candidate_change_fraction — Returns the cascade candidate chang ...; https://man.plustar.jp/php/function.fann-get-cascade-candidate-change-fraction.h... - [similar]

Returns the cascade output change fraction 0: « fann_get_cascade_num_candidates fann_get_cascade_output_stagnation_epochs » PHP Manual Fann 関数 Returns the cascade output change fraction fann_get_cascade_output_change_fraction (PECL fann >= 1.0.0) fann_get_cascade_output_change_fraction — Returns the cascade output change fraction ...; https://man.plustar.jp/php/function.fann-get-cascade-output-change-fraction.html - [similar]

Returns the decay which is a factor that weights should decrease in each iterati... 0: « fann_get_num_output fann_get_quickprop_mu » PHP Manual Fann 関数 Returns the decay which is a factor that weights should decrease in each iteration during quickprop training fann_get_quickprop_decay (PECL fann >= 1.0.0) fann_get_quickprop_decay — Returns the decay which is a factor tha ...; https://man.plustar.jp/php/function.fann-get-quickprop-decay.html - [similar]

Calculate input scaling parameters for future use based on training data 0: « fann_set_error_log fann_set_learning_momentum » PHP Manual Fann 関数 Calculate input scaling parameters for future use based on training data fann_set_input_scaling_params (PECL fann >= 1.0.0) fann_set_input_scaling_params — Calculate input scaling parameters for future use based on tr ...; https://man.plustar.jp/php/function.fann-set-input-scaling-params.html - [similar]

Calculate output scaling parameters for future use based on training data 0: « fann_set_learning_rate fann_set_quickprop_decay » PHP Manual Fann 関数 Calculate output scaling parameters for future use based on training data fann_set_output_scaling_params (PECL fann >= 1.0.0) fann_set_output_scaling_params — Calculate output scaling parameters for future use based ...; https://man.plustar.jp/php/function.fann-set-output-scaling-params.html - [similar]

Destructs the training data 0: « fann_descale_train fann_destroy » PHP Manual Fann 関数 Destructs the training data fann_destroy_train (PECL fann >= 1.0.0) fann_destroy_train — Destructs the training data 説明 fann_destroy_train ( resource $train_data ): bool Destructs the training data パラメータ train_data ニューラル ...; https://man.plustar.jp/php/function.fann-destroy-train.html - [similar]

Clears scaling parameters 0: « fann_cascadetrain_on_file fann_copy » PHP Manual Fann 関数 Clears scaling parameters fann_clear_scaling_params (PECL fann >= 1.0.0) fann_clear_scaling_params — Clears scaling parameters 説明 fann_clear_scaling_params ( resource $ann ): bool Clears scaling parameters. パラメータ ann ニュ ...; https://man.plustar.jp/php/function.fann-clear-scaling-params.html - [similar]

The SVM class 0: « 例 SVM::__construct » PHP Manual SVM The SVM class The SVM class (PECL svm >= 0.1.0) はじめにクラス概要 class SVM { /* Constants */ const int C_SVC = 0 ; const int NU_SVC = 1 ; const int ONE_CLASS = 2 ; const int EPSILON_SVR = 3 ; const int NU_SVR = 4 ; const int KERNEL_LINEAR = 0 ; c ...; https://man.plustar.jp/php/class.svm.html - [similar]