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Results of 11 - 20 of about 27 for layers (0.005 sec.)

Get the number of output neurons 8015: « fann_get_num_layers fann_get_quickprop_decay » PHP Manual Fann 関数 Get the number of output n ... : output , neurons , Get , fann , the , of , num , layers , quickprop , Fann ...; https://man.plustar.jp/php/function.fann-get-num-output.html - [similar]

XOR training 7504: « 例 Fann 関数 » PHP Manual 例 XOR training XOR training This example shows how to train data fo ... rain <?php $num_input = 2 ; $num_output = 1 ; $num_layers = 3 ; $num_neurons_hidden = 3 ; $desired_error = 0 ... eports = 1000 ; $ann = fann_create_standard ( $num_layers , $num_input , $num_neurons_hidden , $num_output ) ...; https://man.plustar.jp/php/fann.examples-1.html - [similar]

Fann 関数 7504: « XOR training fann_cascadetrain_on_data » PHP Manual FANN Fann 関数 Fann 関数目次 fann_cascade ... rk, which is not fully connected using an array of layer sizes fann_create_sparse — Creates a standard backp ... d backpropagation neural network using an array of layer sizes fann_create_standard — Creates a standard ful ... put — Get the number of input neurons fann_get_num_layers — Get the number of layers in the neural network f ... Sets the activation function for all of the hidden layers fann_set_activation_function_layer — Sets the acti ...; https://man.plustar.jp/php/ref.fann.html - [similar]

FANN (Fast Artificial Neural Network) 7455: « geoip_time_zone_by_country_and_region はじめに » PHP Manual その他の基本モジュール FANN (Fast ... rk, which is not fully connected using an array of layer sizes fann_create_sparse — Creates a standard backp ... d backpropagation neural network using an array of layer sizes fann_create_standard — Creates a standard ful ... put — Get the number of input neurons fann_get_num_layers — Get the number of layers in the neural network f ... Sets the activation function for all of the hidden layers fann_set_activation_function_layer — Sets the acti ...; https://man.plustar.jp/php/book.fann.html - [similar]

Get the number of neurons in each layer in the network 7192: « fann_get_errstr fann_get_learning_momentum » PHP Manual Fann 関数 Get the number of neurons in ... in the neural network. Bias is not included so the layers match the fann_create functions. パラメータ ann ニ ...; https://man.plustar.jp/php/function.fann-get-layer-array.html - [similar]

Construct a new device 7142: « ZMQDevice ZMQDevice::getIdleTimeout » PHP Manual ZMQDevice Construct a new device ZMQDevice::_ ... on you care to define above the message and socket layers." -- zguide パラメータ frontend Frontend parameter ...; https://man.plustar.jp/php/zmqdevice.construct.html - [similar]

Returns the activation function 7093: « fann_duplicate_train_data fann_get_activation_steepness » PHP Manual Fann 関数 Returns the act ... Sets the activation function for all of the hidden layers fann_set_activation_function_output() - Sets the a ...; https://man.plustar.jp/php/function.fann-get-activation-function.html - [similar]

Sets the activation function for all the neurons in the supplied layer 7093: « fann_set_activation_function_hidden fann_set_activation_function_output » PHP Manual Fann 関数 ... Sets the activation function for all of the hidden layers fann_set_activation_function_output() - Sets the a ...; https://man.plustar.jp/php/function.fann-set-activation-function-layer.html - [similar]

Sets the activation function for the output layer 7093: « fann_set_activation_function_layer fann_set_activation_function » PHP Manual Fann 関数 Sets th ... Sets the activation function for all of the hidden layers fann_set_activation_steepness() - Sets the activat ...; https://man.plustar.jp/php/function.fann-set-activation-function-output.html - [similar]

Sets the steepness of the activation steepness in the output layer 7093: « fann_set_activation_steepness_layer fann_set_activation_steepness » PHP Manual Fann 関数 Sets ... vation steepness for all neurons in the all hidden layers fann_get_activation_steepness() - Returns the acti ...; https://man.plustar.jp/php/function.fann-set-activation-steepness-output.html - [similar]