This is the complete list of members for ConvolutionalLayer, including all inherited members.
A_B (defined in Layer) | Layer | protected |
A_BT (defined in Layer) | Layer | protected |
activation_function (defined in ConvolutionalLayer) | ConvolutionalLayer | protected |
ActivationFunction enum name | ConvolutionalLayer | |
AT_B (defined in Layer) | Layer | protected |
biases | ConvolutionalLayer | protected |
binary(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
binary(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
calculate_activations(const Tensor< type, 4 > &, Tensor< type, 4 > &) const | ConvolutionalLayer | |
calculate_activations_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_convolutions(const Tensor< type, 4 > &, Tensor< type, 4 > &) const | ConvolutionalLayer | |
calculate_convolutions(const Tensor< type, 4 > &, const Tensor< type, 2 > &, const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_error_gradient(const Tensor< type, 4 > &, LayerForwardPropagation *, LayerBackPropagation &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_error_gradient(const Tensor< type, 2 > &, LayerForwardPropagation *, LayerBackPropagation &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_error_gradient(const Tensor< type, 2 > &, LayerForwardPropagation *, LayerBackPropagation *) const (defined in Layer) | Layer | inlinevirtual |
calculate_error_gradient(const Tensor< type, 4 > &, LayerForwardPropagation *, LayerBackPropagation *) const (defined in Layer) | Layer | inlinevirtual |
calculate_hidden_delta(Layer *, LayerForwardPropagation *, const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_hidden_delta(LayerForwardPropagation *, LayerBackPropagation *, LayerBackPropagation *) const (defined in Layer) | Layer | inlinevirtual |
calculate_hidden_delta_convolutional(ConvolutionalLayer *, const Tensor< type, 4 > &, const Tensor< type, 4 > &, const Tensor< type, 4 > &, Tensor< type, 2 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_hidden_delta_lm(LayerForwardPropagation *, LayerBackPropagationLM *, LayerBackPropagationLM *) const (defined in Layer) | Layer | inlinevirtual |
calculate_hidden_delta_perceptron(const PerceptronLayer *, const Tensor< type, 4 > &, const Tensor< type, 2 > &, const Tensor< type, 2 > &, Tensor< type, 2 > &) const | ConvolutionalLayer | |
calculate_hidden_delta_pooling(PoolingLayer *, const Tensor< type, 4 > &, const Tensor< type, 4 > &, const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_hidden_delta_probabilistic(ProbabilisticLayer *, const Tensor< type, 4 > &, const Tensor< type, 4 > &, const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
calculate_outputs(const Tensor< type, 4 > &, Tensor< type, 4 > &) | ConvolutionalLayer | |
calculate_outputs(const Tensor< type, 2 > &) (defined in Layer) | Layer | virtual |
calculate_outputs_4D(const Tensor< type, 4 > &) (defined in Layer) | Layer | inlinevirtual |
calculate_outputs_from4D(const Tensor< type, 4 > &) (defined in Layer) | Layer | inlinevirtual |
calculate_squared_errors_Jacobian_lm(const Tensor< type, 2 > &, LayerForwardPropagation *, LayerBackPropagationLM *) (defined in Layer) | Layer | inlinevirtual |
column_stride (defined in ConvolutionalLayer) | ConvolutionalLayer | protected |
competitive(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
competitive(const Tensor< type, 2 > &, Tensor< type, 2 > &) const | Layer | protected |
convolution_type (defined in ConvolutionalLayer) | ConvolutionalLayer | protected |
ConvolutionalLayer() | ConvolutionalLayer | explicit |
ConvolutionalLayer(const Tensor< Index, 1 > &, const Tensor< Index, 1 > &) | ConvolutionalLayer | explicit |
ConvolutionType enum name (defined in ConvolutionalLayer) | ConvolutionalLayer | |
exponential_linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
exponential_linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
exponential_linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
exponential_linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
exponential_linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
exponential_linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
forward_propagate(const Tensor< type, 4 > &, LayerForwardPropagation *) (defined in ConvolutionalLayer) | ConvolutionalLayer | virtual |
forward_propagate(const Tensor< type, 2 > &, LayerForwardPropagation *) (defined in ConvolutionalLayer) | ConvolutionalLayer | virtual |
forward_propagate(const Tensor< type, 4 > &, Tensor< type, 1 >, LayerForwardPropagation *) (defined in ConvolutionalLayer) | ConvolutionalLayer | virtual |
forward_propagate(const Tensor< type, 2 > &, Tensor< type, 1 >, LayerForwardPropagation *) (defined in ConvolutionalLayer) | ConvolutionalLayer | virtual |
from_XML(const tinyxml2::XMLDocument &) (defined in Layer) | Layer | inlinevirtual |
get_activation_function() const | ConvolutionalLayer | |
get_biases() const | ConvolutionalLayer | |
get_column_stride() const | ConvolutionalLayer | |
get_convolution_type() const | ConvolutionalLayer | |
get_input_variables_dimensions() const | ConvolutionalLayer | |
get_inputs_channels_number() const | ConvolutionalLayer | |
get_inputs_columns_number() const | ConvolutionalLayer | |
get_inputs_number() const | ConvolutionalLayer | virtual |
get_inputs_rows_number() const | ConvolutionalLayer | |
get_kernels_channels_number() const | ConvolutionalLayer | |
get_kernels_columns_number() const | ConvolutionalLayer | |
get_kernels_number() const | ConvolutionalLayer | |
get_kernels_rows_number() const | ConvolutionalLayer | |
get_name() const (defined in Layer) | Layer | inline |
get_neurons_number() const | ConvolutionalLayer | virtual |
get_outputs_columns_number() const | ConvolutionalLayer | |
get_outputs_dimensions() const | ConvolutionalLayer | |
get_outputs_rows_number() const | ConvolutionalLayer | |
get_padding_height() const | ConvolutionalLayer | |
get_padding_width() const | ConvolutionalLayer | |
get_parameters() const | ConvolutionalLayer | virtual |
get_parameters_number() const | ConvolutionalLayer | virtual |
get_row_stride() const | ConvolutionalLayer | |
get_synaptic_weights() const | ConvolutionalLayer | |
get_synaptic_weights_number() const | ConvolutionalLayer | virtual |
get_type() const | Layer | |
get_type_string() const | Layer | |
hard_sigmoid(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
hard_sigmoid(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
hard_sigmoid(const Tensor< type, 4 > &, Tensor< type, 4 > &) const | Layer | protected |
hard_sigmoid_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
hard_sigmoid_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
hard_sigmoid_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
hyperbolic_tangent(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
hyperbolic_tangent(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
hyperbolic_tangent(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
hyperbolic_tangent_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
hyperbolic_tangent_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
hyperbolic_tangent_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
input_variables_dimensions (defined in ConvolutionalLayer) | ConvolutionalLayer | protected |
insert_gradient(LayerBackPropagation *, const Index &, Tensor< type, 1 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | virtual |
insert_padding(const Tensor< type, 4 > &, Tensor< type, 4 > &) | ConvolutionalLayer | |
insert_squared_errors_Jacobian_lm(LayerBackPropagationLM *, const Index &, Tensor< type, 2 > &) const (defined in Layer) | Layer | inlinevirtual |
is_empty() const | ConvolutionalLayer | |
Layer() (defined in Layer) | Layer | inlineexplicit |
layer_name | Layer | protected |
layer_type | Layer | protected |
linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
logistic(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
logistic(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
logistic(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
logistic_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
logistic_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
logistic_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 3 > &) const (defined in Layer) | Layer | protected |
logistic_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
non_blocking_thread_pool (defined in Layer) | Layer | protected |
rectified_linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
rectified_linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
rectified_linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
rectified_linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
rectified_linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
rectified_linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
row_stride (defined in ConvolutionalLayer) | ConvolutionalLayer | protected |
scaled_exponential_linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
scaled_exponential_linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
scaled_exponential_linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
scaled_exponential_linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
scaled_exponential_linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
scaled_exponential_linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
set(const Tensor< Index, 1 > &, const Tensor< Index, 1 > &) | ConvolutionalLayer | |
set(const Tensor< type, 4 > &, const Tensor< type, 4 > &, const Tensor< type, 1 > &) | ConvolutionalLayer | |
set_activation_function(const ActivationFunction &) | ConvolutionalLayer | |
set_biases(const Tensor< type, 1 > &) | ConvolutionalLayer | |
set_biases_constant(const type &) | ConvolutionalLayer | |
set_column_stride(const Index &) | ConvolutionalLayer | |
set_convolution_type(const ConvolutionType &) | ConvolutionalLayer | |
set_inputs_number(const Index &) (defined in Layer) | Layer | virtual |
set_neurons_number(const Index &) (defined in Layer) | Layer | virtual |
set_parameters(const Tensor< type, 1 > &, const Index &index) | ConvolutionalLayer | virtual |
set_parameters_constant(const type &) | ConvolutionalLayer | virtual |
set_parameters_random() (defined in ConvolutionalLayer) | ConvolutionalLayer | virtual |
set_row_stride(const Index &) | ConvolutionalLayer | |
set_synaptic_weights(const Tensor< type, 4 > &) | ConvolutionalLayer | |
set_synaptic_weights_constant(const type &) | ConvolutionalLayer | |
set_threads_number(const int &) (defined in Layer) | Layer | |
soft_plus(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
soft_plus(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
soft_plus(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
soft_plus_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
soft_plus_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
soft_plus_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
soft_sign(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
soft_sign(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
soft_sign(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
soft_sign_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
soft_sign_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
soft_sign_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
softmax(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
softmax(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
softmax_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 3 > &) const (defined in Layer) | Layer | protected |
symmetric_threshold(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
symmetric_threshold(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
symmetric_threshold(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
symmetric_threshold_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
symmetric_threshold_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
symmetric_threshold_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
synaptic_weights | ConvolutionalLayer | protected |
thread_pool_device (defined in Layer) | Layer | protected |
threshold(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
threshold(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
threshold(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
threshold_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
threshold_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
threshold_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
to_2d(const Tensor< type, 4 > &, Tensor< type, 2 > &) const (defined in ConvolutionalLayer) | ConvolutionalLayer | |
Type enum name | Layer | |
write_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const (defined in Layer) | Layer | inlinevirtual |
write_expression_c() const (defined in Layer) | Layer | inlinevirtual |
write_expression_python() const (defined in Layer) | Layer | inlinevirtual |
write_XML(tinyxml2::XMLPrinter &) const (defined in Layer) | Layer | inlinevirtual |
~Layer() (defined in Layer) | Layer | virtual |