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• save() : mic::mlnn::MultiLayerNeuralNetwork< eT >
• serialize() : mic::mlnn::Layer< eT >
• setLoss() : mic::mlnn::BackpropagationNeuralNetwork< eT >
• setOptimization() : mic::mlnn::Layer< eT > , mic::mlnn::MultiLayerNeuralNetwork< eT >
• setState() : mic::mlnn::Layer< eT >
• SetUp() : Beale2DLandscape , mic::neural_nets::unit_tests::Conv28x28x1Filter2x28x28s1Double , mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double , mic::neural_nets::unit_tests::Conv3x3x2Filter3x2x2s1Float , mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float , mic::neural_nets::unit_tests::Conv4x4x1Filter3x1x1s3Double , mic::neural_nets::unit_tests::Conv5x5x1Filter1x2x2s3Float , mic::neural_nets::unit_tests::Conv5x5x1Filter1x3x3s1Float , mic::neural_nets::unit_tests::Conv5x6x1Filter1x4x4s1Float , mic::neural_nets::unit_tests::Conv7x7x3Filter3x3x3s2Float , mic::neural_nets::unit_tests::Conv8x8x1Filter2x4x4s4Double , mic::neural_nets::unit_tests::Linear1x1Float , mic::neural_nets::unit_tests::Linear2x3Double , mic::neural_nets::unit_tests::Linear2x3Float , mic::neural_nets::unit_tests::Linear50x100Double , mic::neural_nets::unit_tests::Simple2LayerRegressionNN , mic::neural_nets::unit_tests::Tutorial2LayerNN , Rosenbrock2DLandscape , Softmax4x1Float , Sphere1DLandscape , Sphere20DLandscape , Vectors3x2Float , Vectors4x1Float2 , Vectors4x1Float
• Sigmoid() : mic::mlnn::activation_function::Sigmoid< eT >
• Simple2LayerRegressionNN() : mic::neural_nets::unit_tests::Simple2LayerRegressionNN
• size() : mic::neural_nets::optimization::OptimizationArray< T >
• Softmax() : mic::mlnn::cost_function::Softmax< eT >
• Softmax4x1Float() : Softmax4x1Float
• SparseLinear() : mic::mlnn::fully_connected::SparseLinear< eT >
• Sphere1DLandscape() : Sphere1DLandscape
• Sphere20DLandscape() : Sphere20DLandscape
• SphereFunction() : mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >
• streamLayerParameters() : mic::mlnn::convolution::Convolution< eT > , mic::mlnn::Layer< eT >