 |
ROOT 6.10/09 Reference Guide |
| |
ROOT 6.10/09 Reference Guide |
This is the complete list of members for TMVA::DNN::TCpu< AReal >, including all inherited members.
| AddL1RegularizationGradients(TCpuMatrix< Scalar_t > &A, const TCpuMatrix< Scalar_t > &W, Scalar_t weightDecay) | TMVA::DNN::TCpu< AReal > | static |
| AddL2RegularizationGradients(TCpuMatrix< Scalar_t > &A, const TCpuMatrix< Scalar_t > &W, Scalar_t weightDecay) | TMVA::DNN::TCpu< AReal > | static |
| AddRowWise(TCpuMatrix< Scalar_t > &output, const TCpuMatrix< Scalar_t > &biases) | TMVA::DNN::TCpu< AReal > | static |
| Backward(TCpuMatrix< Scalar_t > &activationGradientsBackward, TCpuMatrix< Scalar_t > &weightGradients, TCpuMatrix< Scalar_t > &biasGradients, TCpuMatrix< Scalar_t > &df, const TCpuMatrix< Scalar_t > &activationGradients, const TCpuMatrix< Scalar_t > &weights, const TCpuMatrix< Scalar_t > &activationBackward) | TMVA::DNN::TCpu< AReal > | static |
| Copy(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| CrossEntropy(const TCpuMatrix< Scalar_t > &Y, const TCpuMatrix< Scalar_t > &output) | TMVA::DNN::TCpu< AReal > | static |
| CrossEntropyGradients(TCpuMatrix< Scalar_t > &dY, const TCpuMatrix< Scalar_t > &Y, const TCpuMatrix< Scalar_t > &output) | TMVA::DNN::TCpu< AReal > | static |
| DeviceBuffer_t typedef | TMVA::DNN::TCpu< AReal > | |
| Dropout(TCpuMatrix< Scalar_t > &A, Scalar_t p) | TMVA::DNN::TCpu< AReal > | static |
| Gauss(TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| GaussDerivative(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| Hadamard(TCpuMatrix< Scalar_t > &A, const TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| HostBuffer_t typedef | TMVA::DNN::TCpu< AReal > | |
| IdentityDerivative(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| InitializeGauss(TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| InitializeIdentity(TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| InitializeUniform(TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| InitializeZero(TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| L1Regularization(const TCpuMatrix< Scalar_t > &W) | TMVA::DNN::TCpu< AReal > | static |
| L2Regularization(const TCpuMatrix< Scalar_t > &W) | TMVA::DNN::TCpu< AReal > | static |
| Matrix_t typedef | TMVA::DNN::TCpu< AReal > | |
| MeanSquaredError(const TCpuMatrix< Scalar_t > &Y, const TCpuMatrix< Scalar_t > &output) | TMVA::DNN::TCpu< AReal > | static |
| MeanSquaredErrorGradients(TCpuMatrix< Scalar_t > &dY, const TCpuMatrix< Scalar_t > &Y, const TCpuMatrix< Scalar_t > &output) | TMVA::DNN::TCpu< AReal > | static |
| Multiply(TCpuMatrix< Scalar_t > &C, const TCpuMatrix< Scalar_t > &A, const TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| MultiplyTranspose(TCpuMatrix< Scalar_t > &output, const TCpuMatrix< Scalar_t > &input, const TCpuMatrix< Scalar_t > &weights) | TMVA::DNN::TCpu< AReal > | static |
| Relu(TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| ReluDerivative(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| Scalar_t typedef | TMVA::DNN::TCpu< AReal > | |
| ScaleAdd(TCpuMatrix< Scalar_t > &A, const TCpuMatrix< Scalar_t > &B, Scalar_t beta=1.0) | TMVA::DNN::TCpu< AReal > | static |
| Sigmoid(TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| Sigmoid(TCpuMatrix< Scalar_t > &YHat, const TCpuMatrix< Scalar_t > &) | TMVA::DNN::TCpu< AReal > | static |
| SigmoidDerivative(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| Softmax(TCpuMatrix< Scalar_t > &YHat, const TCpuMatrix< Scalar_t > &) | TMVA::DNN::TCpu< AReal > | static |
| SoftmaxCrossEntropy(const TCpuMatrix< Scalar_t > &Y, const TCpuMatrix< Scalar_t > &output) | TMVA::DNN::TCpu< AReal > | static |
| SoftmaxCrossEntropyGradients(TCpuMatrix< Scalar_t > &dY, const TCpuMatrix< Scalar_t > &Y, const TCpuMatrix< Scalar_t > &output) | TMVA::DNN::TCpu< AReal > | static |
| SoftSign(TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| SoftSignDerivative(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| Sum(const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| SumColumns(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| SymmetricRelu(TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| SymmetricReluDerivative(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| Tanh(TCpuMatrix< Scalar_t > &B) | TMVA::DNN::TCpu< AReal > | static |
| TanhDerivative(TCpuMatrix< Scalar_t > &B, const TCpuMatrix< Scalar_t > &A) | TMVA::DNN::TCpu< AReal > | static |
| TransposeMultiply(TCpuMatrix< Scalar_t > &output, const TCpuMatrix< Scalar_t > &input, const TCpuMatrix< Scalar_t > &Weights) | TMVA::DNN::TCpu< AReal > | static |
ROOT 6.10/09 - Reference Guide Generated on Thu May 31 2018 12:15:40 using Doxygen 1.8.13.