Classes
struct	dcnnasgn::combined_policy< PP >
	Policy: The complete network. More...

class	dcnnasgn::combined_model< PP >
	Model data (weights and biases) of the complete network. More...

class	dcnnasgn::combined_data< PP >
	Input data, forward-propagated activations, and loss of the complete network. More...

Typedefs
using	dcnnasgn::test_labels_t = tagged::tensor_class<gold_labels_policy::label_carrier, input_tag>

using	dcnnasgn::test_images_t = tagged::tensor_class<idp::image_carrier, input_tag, idp::height_tag, idp::width_tag, idp::channel_tag>

Functions
template<is_policy PP>
void	dcnnasgn::combined_load_model (combined_model< PP > &m, const std::filesystem::path &data_folder)

template<typename mapping, is_policy PP>
float	dcnnasgn::combined_forward (const test_images_t &test_images, const test_labels_t &test_labels, mapping &&bmap, const combined_model< PP > &m, combined_data< PP > &d)
	The forward-propagation function of the complete network.

Detailed Description

Function Documentation

template<typename mapping, is_policy PP>

float dcnnasgn::combined_forward	(	const test_images_t &	test_images,
		const test_labels_t &	test_labels,
		mapping &&	bmap,
		const combined_model< PP > &	m,
		combined_data< PP > &	d )

inline

The forward-propagation function of the complete network.

Includes creation of a minibatch by selection of the specified input images from the training dataset

Template Parameters

mapping	Input selection mapping
PP	Permutation policy

Parameters