Results of 21 - 30 of about 33 for layer (0.004 sec.)
- 定義済み定数 6706
- « リソース型 例 » PHP Manual FANN 定義済み定数 定義済み定数 以下の定数が定義されています。 この関
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types used by fann_get_network_type() FANN_NETTYPE_LAYER ( int ) Each layer only has connections to the nex ...
t layer. FANN_NETTYPE_SHORTCUT ( int ) Each layer has conn ...
ections to all following layers Errors FANN_E_NO_ERROR ( int ) No error. FANN_E_C ...
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https://man.plustar.jp/php/fann.constants.html
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- Description 6609
- « ImagickKernel::addUnityKernel ImagickKernel::fromMatrix » PHP Manual ImagickKernel Description
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$imagickDraw ); /* create drop shadow on it's own layer */ $canvas = $kernel -> clone (); $canvas -> setIm ...
canvasHeight , 0 , 0 ); /* composite original text_layer onto shadow_layer */ $canvas -> compositeImage ( $ ...
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https://man.plustar.jp/php/imagickkernel.frombuiltin.html
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- Description 6609
- « ImagickKernel::fromBuiltIn ImagickKernel::getMatrix » PHP Manual ImagickKernel Description Ima
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$imagickDraw ); /* create drop shadow on it's own layer */ $canvas = $kernel -> clone (); $canvas -> setIm ...
canvasHeight , 0 , 0 ); /* composite original text_layer onto shadow_layer */ $canvas -> compositeImage ( $ ...
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https://man.plustar.jp/php/imagickkernel.frommatrix.html
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- 関数・メソッド 6481
- « 索引 サンプル » PHP Manual 索引 関数・メソッド 関数・メソッド マニュアル内の全関数およびメソッ
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rk, which is not fully connected using an array of layer sizes fann_create_standard - Creates a standard fu ...
d backpropagation neural network using an array of layer sizes fann_create_train - Creates an empty trainin ...
s the activation steepness for supplied neuron and layer number fann_get_bias_array - Get the number of bia ...
s in each layer in the network fann_get_bit_fail - The number of f ...
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https://man.plustar.jp/php/indexes.functions.html
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- Check if the connection is established. 6353
- « Swoole\Client::getsockname Swoole\Client::on » PHP Manual Swoole\Client Check if the connectio
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ethod returns the connection status of application layer. パラメータ この関数にはパラメータはありません。 戻 ...
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https://man.plustar.jp/php/swoole-client.isconnected.html
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- Returns the last errstr 6321
- « fann_get_errno fann_get_layer_array » PHP Manual Fann 関数 Returns the last errstr fann_get_er
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https://man.plustar.jp/php/function.fann-get-errstr.html
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- Will run input through the neural network 6321
- « fann_reset_MSE fann_save_train » PHP Manual Fann 関数 Will run input through the neural networ
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being equal to the number of neurons in the output layer. パラメータ ann ニューラルネットワークリソース。 i ...
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https://man.plustar.jp/php/function.fann-run.html
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- Returns the learning momentum 6288
- « fann_get_layer_array fann_get_learning_rate » PHP Manual Fann 関数 Returns the learning moment
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https://man.plustar.jp/php/function.fann-get-learning-momentum.html
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- Creates a standard backpropagation neural network which is not fully connectecte... 6272
- « fann_create_from_file fann_create_shortcut » PHP Manual Fann 関数 Creates a standard backpropa
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ections 説明 fann_create_shortcut_array ( int $num_layers , array $layers ): resource Creates a standard ba ...
ted and has shortcut connections using an array of layers sizes. パラメータ num_layers The total number of ...
layers including the input and the output layer. layers An array of layers sizes. 戻り値 Returns a ...
network 関連キーワード: fann , shortcut , create , layers , standard , backpropagation , array , fully , Cr ...
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https://man.plustar.jp/php/function.fann-create-shortcut-array.html
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- The SVM class 6144
- « 例 SVM::__construct » PHP Manual SVM The SVM class The SVM class (PECL svm >= 0.1.0) はじめに
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on. Using this makes the SVM very similar to a two layer sigmoid based neural network SVM::KERNEL_PRECOMPUT ...
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https://man.plustar.jp/php/class.svm.html
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