| ClearStateVars(void) (定義場所: ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD >) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| DispError(void) (定義場所: ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD >) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| DispWeightAndBias(void) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| dLde | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | |
| dLdz | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | |
| GenerateDropMask(void) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| InitWeight(const size_t Nprev) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| PropagateBackward(const std::array< Matrix< 1, P >, W+2 > &dLdznext, const size_t t) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| PropagateBackward(const Matrix< 1, P > &dLdenext, const size_t t) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| PropagateBackwardForOutput(const Matrix< 1, P > &r) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| PropagateForward(const std::array< Matrix< 1, N >, W+2 > &zprev, const size_t t) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| PropagateForwardForOutput(const std::array< Matrix< 1, N >, W+2 > &zprev) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| RecurrentNeuralLayer() | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| RecurrentNeuralLayer(RecurrentNeuralLayer &&r) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| UpdateWeightAndBias(const std::array< Matrix< 1, N >, W+2 > &zprev) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| UpdateWeightAndBiasForOutput(const std::array< Matrix< 1, N >, W+2 > &zprev) | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
| z | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | |
| ~RecurrentNeuralLayer() | ARCS::RecurrentNeuralLayer< N, P, T, W, M, AF, IT, GD, DD > | inline |
1.11.0