Results of 31 - 40 of about 149 for [SIMILAR] 16 1024 4096 WITH 16620 neuron WITH 13... (0.163 sec.)
- Initialize the weights using Widrow + Nguyen’s algorithm 0
- « fann_get_training_algorithm fann_length_train_data » PHP Manual Fann 関数 Initialize the weights using Widrow + Nguyen's algorithm fann_init_weights (PECL fann >= 1.0.0) fann_init_weights — Initialize the weights using Widrow + Nguyen's algorithm 説明 fann_init_weights ( resource $ann
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https://man.plustar.jp/php/function.fann-init-weights.html
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- 定義済み定数 0
- « 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。 この関数の拡張モジュールが PHP 組み込みでコンパイルされているか、 実行時に動的にロードされている場合のみ使用可能です。 Training algorithms FANN_TRAIN_INCREMENTAL ( int ) Standard backpropagation al
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https://man.plustar.jp/php/fann.constants.html
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- Creates a standard backpropagation neural network which is not fully connectecte... 0
- « fann_create_shortcut_array fann_create_sparse_array » PHP Manual Fann 関数 Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections fann_create_shortcut (PECL fann >= 1.0.0) fann_create_shortcut — Creates a standard backpropagation
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https://man.plustar.jp/php/function.fann-create-shortcut.html
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- Creates a standard backpropagation neural network, which is not fully connected ... 0
- « fann_create_shortcut fann_create_sparse » PHP Manual Fann 関数 Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes fann_create_sparse_array (PECL fann >= 1.0.0) fann_create_sparse_array — Creates a standard backpropagation neura
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https://man.plustar.jp/php/function.fann-create-sparse-array.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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- 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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- Creates a standard backpropagation neural network which is not fully connectecte... 0
- « fann_create_from_file fann_create_shortcut » PHP Manual Fann 関数 Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections fann_create_shortcut_array (PECL fann >= 1.0.0) fann_create_shortcut_array — Creates a standard backpropagati
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https://man.plustar.jp/php/function.fann-create-shortcut-array.html
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- Returns the connection weight 0
- « FANNConnection::getToNeuron FANNConnection::setWeight » PHP Manual FANNConnection Returns the connection weight FANNConnection::getWeight (PECL fann >= 1.0.0) FANNConnection::getWeight — Returns the connection weight 説明 public FANNConnection::getWeight (): void Returns the connection
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https://man.plustar.jp/php/fannconnection.getweight.html
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- Returns the postions of starting neuron 0
- « FANNConnection::__construct FANNConnection::getToNeuron » PHP Manual FANNConnection Returns the postions of starting neuron FANNConnection::getFromNeuron (PECL fann >= 1.0.0) FANNConnection::getFromNeuron — Returns the postions of starting neuron 説明 public FANNConnection::getFromNeur
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https://man.plustar.jp/php/fannconnection.getfromneuron.html
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- Returns the postions of terminating neuron 0
- « FANNConnection::getFromNeuron FANNConnection::getWeight » PHP Manual FANNConnection Returns the postions of terminating neuron FANNConnection::getToNeuron (PECL fann >= 1.0.0) FANNConnection::getToNeuron — Returns the postions of terminating neuron 説明 public FANNConnection::getToNeur
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https://man.plustar.jp/php/fannconnection.gettoneuron.html
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