Classes
class	dcnnasgn::loss_data
	Loss data class. More...

class	dcnnsol::image_data< SP, permutation_policy >
	Forward-propagated data between layers. More...

class	dcnnsol::feature_data< CSP, permutation_policy >
	Output of the final Aggregate layer. More...

class	dcnnsol::conv_weights< KSP, CSPI, CSPO, permutation_policy >
	Convolution or Aggregate layer model. More...

class	dcnnsol::feature_weights< CSPI, CSPO, permutation_policy >
	Fully connected layer model. More...

class	dcnnsol::feature_multiplier< CSP, permutation_policy >
	Multiplier layer model. More...

class	dcnnsol::feature_bias< CSP, permutation_policy >
	Shift layer model. More...

Detailed Description

These classes form the interfaces between layers

Each of the classes contains one or more instances of tagged::tensor_class

Additional data members may be inserted into these classes if required for optimization

Note: The additional data members will typically be redundant versions of the data already contained, e.g. their transposed versions

Temporary data shall be inserted as local variables into the respective functions

Classes