Results of 71 - 80 of about 582 for [SIMILAR] 16 1024 4096 WITH 5335 トワ WITH 4685 ... (0.433 sec.)
- Get the number of neurons in each layer in the network 0
- « fann_get_errstr fann_get_learning_momentum » PHP Manual Fann 関数 Get the number of neurons in each layer in the network fann_get_layer_array (PECL fann >= 1.0.0) fann_get_layer_array — Get the number of neurons in each layer in the network 説明 fann_get_layer_array ( resource $ann ):
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https://man.plustar.jp/php/function.fann-get-layer-array.html
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- Get the type of neural network it was created as 0
- « fann_get_MSE fann_get_num_input » PHP Manual Fann 関数 Get the type of neural network it was created as fann_get_network_type (PECL fann >= 1.0.0) fann_get_network_type — Get the type of neural network it was created as 説明 fann_get_network_type ( resource $ann ): int Get the type of
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https://man.plustar.jp/php/function.fann-get-network-type.html
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- Get the number of layers in the neural network 0
- « fann_get_num_input fann_get_num_output » PHP Manual Fann 関数 Get the number of layers in the neural network fann_get_num_layers (PECL fann >= 1.0.0) fann_get_num_layers — Get the number of layers in the neural network 説明 fann_get_num_layers ( resource $ann ): int Get the number of l
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https://man.plustar.jp/php/function.fann-get-num-layers.html
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- Returns the mu factor 0
- « fann_get_quickprop_decay fann_get_rprop_decrease_factor » PHP Manual Fann 関数 Returns the mu factor fann_get_quickprop_mu (PECL fann >= 1.0.0) fann_get_quickprop_mu — Returns the mu factor 説明 fann_get_quickprop_mu ( resource $ann ): float The mu factor is used to increase and decrea
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https://man.plustar.jp/php/function.fann-get-quickprop-mu.html
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- Get the total number of connections in the entire network 0
- « fann_get_sarprop_weight_decay_shift fann_get_total_neurons » PHP Manual Fann 関数 Get the total number of connections in the entire network fann_get_total_connections (PECL fann >= 1.0.0) fann_get_total_connections — Get the total number of connections in the entire network 説明 fann_g
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https://man.plustar.jp/php/function.fann-get-total-connections.html
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- Get the total number of neurons in the entire network 0
- « fann_get_total_connections fann_get_train_error_function » PHP Manual Fann 関数 Get the total number of neurons in the entire network fann_get_total_neurons (PECL fann >= 1.0.0) fann_get_total_neurons — Get the total number of neurons in the entire network 説明 fann_get_total_neurons (
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https://man.plustar.jp/php/function.fann-get-total-neurons.html
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- Returns the stop function used during training 0
- « fann_get_train_error_function fann_get_training_algorithm » PHP Manual Fann 関数 Returns the stop function used during training fann_get_train_stop_function (PECL fann >= 1.0.0) fann_get_train_stop_function — Returns the stop function used during training 説明 fann_get_train_stop_funct
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https://man.plustar.jp/php/function.fann-get-train-stop-function.html
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- Returns the number of training patterns in the train data 0
- « fann_init_weights fann_merge_train_data » PHP Manual Fann 関数 Returns the number of training patterns in the train data fann_length_train_data (PECL fann >= 1.0.0) fann_length_train_data — Returns the number of training patterns in the train data 説明 fann_length_train_data ( resource
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https://man.plustar.jp/php/function.fann-length-train-data.html
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- Will run input through the neural network 0
- « fann_reset_MSE fann_save_train » PHP Manual Fann 関数 Will run input through the neural network fann_run (PECL fann >= 1.0.0) fann_run — Will run input through the neural network 説明 fann_run ( resource $ann , array $input ): array Will run input through the neural network, returning
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https://man.plustar.jp/php/function.fann-run.html
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- Sets the quickprop decay factor 0
- « fann_set_output_scaling_params fann_set_quickprop_mu » PHP Manual Fann 関数 Sets the quickprop decay factor fann_set_quickprop_decay (PECL fann >= 1.0.0) fann_set_quickprop_decay — Sets the quickprop decay factor 説明 fann_set_quickprop_decay ( resource $ann , float $quickprop_decay ):
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https://man.plustar.jp/php/function.fann-set-quickprop-decay.html
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