Results of 31 - 40 of about 348 for [SIMILAR] 16 1024 4096 WITH 18198 neurons WITH 6... (0.330 sec.)
- XOR training 0
- « 例 Fann 関数 » PHP Manual 例 XOR training XOR training This example shows how to train data for XOR function 例1 xor.data file 4 2 1 -1 -1 -1 -1 1 1 1 -1 1 1 1 -1 例2 Simple train <?php $num_input = 2 ; $num_output = 1 ; $num_layers = 3 ; $num_neurons_hidden = 3 ; $desired_error = 0.00
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https://man.plustar.jp/php/fann.examples-1.html
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- Creates a standard fully connected backpropagation neural network 0
- « fann_create_standard_array fann_create_train_from_callback » PHP Manual Fann 関数 Creates a standard fully connected backpropagation neural network fann_create_standard (PECL fann >= 1.0.0) fann_create_standard — Creates a standard fully connected backpropagation neural network 説明 fa
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https://man.plustar.jp/php/function.fann-create-standard.html
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- Returns the activation steepness for supplied neuron and layer number 0
- « fann_get_activation_function fann_get_bias_array » PHP Manual Fann 関数 Returns the activation steepness for supplied neuron and layer number fann_get_activation_steepness (PECL fann >= 1.0.0) fann_get_activation_steepness — Returns the activation steepness for supplied neuron and laye
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https://man.plustar.jp/php/function.fann-get-activation-steepness.html
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- Sets the activation steepness for supplied neuron and layer number 0
- « fann_set_activation_steepness_output fann_set_bit_fail_limit » PHP Manual Fann 関数 Sets the activation steepness for supplied neuron and layer number fann_set_activation_steepness (PECL fann >= 1.0.0) fann_set_activation_steepness — Sets the activation steepness for supplied neuron an
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https://man.plustar.jp/php/function.fann-set-activation-steepness.html
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- Sets the activation function for supplied neuron and layer 0
- « fann_set_activation_function_output fann_set_activation_steepness_hidden » PHP Manual Fann 関数 Sets the activation function for supplied neuron and layer fann_set_activation_function (PECL fann >= 1.0.0) fann_set_activation_function — Sets the activation function for supplied neuron a
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https://man.plustar.jp/php/function.fann-set-activation-function.html
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- Returns the activation function 0
- « fann_duplicate_train_data fann_get_activation_steepness » PHP Manual Fann 関数 Returns the activation function fann_get_activation_function (PECL fann >= 1.0.0) fann_get_activation_function — Returns the activation function 説明 fann_get_activation_function ( resource $ann , int $layer
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https://man.plustar.jp/php/function.fann-get-activation-function.html
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- 関数・メソッド 0
- « 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ドの一覧 a b c d e f g h i j k l m n o p q r s t u v w x y z _ 㠊 a abs - 絶対値 acos - 逆余弦(アークコサイン) acosh - 逆双曲線余弦(アークハイパボリックコサイン) addcslashes - C 言語と同様
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https://man.plustar.jp/php/indexes.functions.html
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- Creates a standard backpropagation neural network, which is not fully connected 0
- « fann_create_sparse_array fann_create_standard_array » PHP Manual Fann 関数 Creates a standard backpropagation neural network, which is not fully connected fann_create_sparse (PECL fann >= 1.0.0) fann_create_sparse — Creates a standard backpropagation neural network, which is not fully
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https://man.plustar.jp/php/function.fann-create-sparse.html
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- Creates a standard fully connected backpropagation neural network using an array... 0
- « fann_create_sparse fann_create_standard » PHP Manual Fann 関数 Creates a standard fully connected backpropagation neural network using an array of layer sizes fann_create_standard_array (PECL fann >= 1.0.0) fann_create_standard_array — Creates a standard fully connected backpropagation
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https://man.plustar.jp/php/function.fann-create-standard-array.html
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- Scale data in input vector before feed it to ann based on previously calculated ... 0
- « fann_scale_input_train_data fann_scale_output_train_data » PHP Manual Fann 関数 Scale data in input vector before feed it to ann based on previously calculated parameters fann_scale_input (PECL fann >= 1.0.0) fann_scale_input — Scale data in input vector before feed it to ann based on
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https://man.plustar.jp/php/function.fann-scale-input.html
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