Type | Intent | Optional | Attributes | Name | ||
---|---|---|---|---|---|---|
type(string_t), | intent(in) | :: | metadata(:) | |||
real, | intent(in) | :: | weights(:,:,:) | |||
real, | intent(in) | :: | biases(:,:) | |||
integer, | intent(in) | :: | nodes(0:) | |||
type(tensor_map_t), | intent(in), | optional | :: | input_map | ||
type(tensor_map_t), | intent(in), | optional | :: | output_map |
Type | Intent | Optional | Attributes | Name | ||
---|---|---|---|---|---|---|
type(file_t), | intent(in) | :: | file |
Type | Intent | Optional | Attributes | Name | ||
---|---|---|---|---|---|---|
type(neural_network_t), | intent(in) | :: | neural_network |
Type | Intent | Optional | Attributes | Name | ||
---|---|---|---|---|---|---|
type(training_configuration_t), | intent(in) | :: | training_configuration | |||
real, | intent(in) | :: | perturbation_magnitude | |||
type(string_t), | intent(in) | :: | metadata(:) | |||
type(tensor_map_t) | :: | input_map | ||||
type(tensor_map_t) | :: | output_map |
Type | Intent | Optional | Attributes | Name | ||
---|---|---|---|---|---|---|
class(trainable_network_t), | intent(in) | :: | self | |||
type(input_output_pair_t), | intent(in) | :: | input_output_pair |
Type | Intent | Optional | Attributes | Name | ||
---|---|---|---|---|---|---|
class(trainable_network_t), | intent(inout) | :: | self | |||
type(mini_batch_t), | intent(in) | :: | mini_batches_arr(:) | |||
real, | intent(out), | optional, | allocatable | :: | cost(:) | |
logical, | intent(in) | :: | adam | |||
real, | intent(in) | :: | learning_rate |
Type | Visibility | Attributes | Name | Initial | |||
---|---|---|---|---|---|---|---|
integer, | public, | kind | :: | k | = | default_real | |
integer, | public, | kind | :: | m | = | default_real | |
type(workspace_t), | private | :: | workspace_ |
private module function default_real_construct_from_components (metadata, weights, biases, nodes, input_map, output_map) | |
private impure, elemental, module function default_real_from_json (file) | |
private pure, module function default_real_network (neural_network) | |
private module function perturbed_identity_network (training_configuration, perturbation_magnitude, metadata, input_map, output_map) |