/**
* Create the IdentityConnection object using the specified input layer and
* output layer.
*
* @param InputLayerType The input layer which is connected with the output
* layer.
* @param OutputLayerType The output layer which is connected with the input
* layer.
*/
IdentityConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer) :
inputLayer(inputLayer),
outputLayer(outputLayer),
optimizer(0),
weights(0),
delta(arma::zeros<DataType>(inputLayer.Delta().n_rows,
inputLayer.Delta().n_cols, inputLayer.Delta().n_slices))
{
// Nothing to do here.
}
/**
* Create the PoolingConnection object using the specified input layer, output
* layer, optimizer and pooling strategy.
*
* @param InputLayerType The input layer which is connected with the output
* layer.
* @param OutputLayerType The output layer which is connected with the input
* layer.
* @param PoolingRule The strategy of pooling.
*/
PoolingConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
PoolingRule pooling = PoolingRule()) :
inputLayer(inputLayer),
outputLayer(outputLayer),
optimizer(0),
weights(0),
pooling(pooling),
delta(arma::zeros<DataType>(inputLayer.Delta().n_rows,
inputLayer.Delta().n_cols, inputLayer.Delta().n_slices))
{
// Nothing to do here.
}
/**
* Create the SelfConnection object using the specified input layer, output
* layer, optimizer and weight initialize rule.
*
* @param InputLayerType The input layer which is connected with the output
* layer.
* @param OutputLayerType The output layer which is connected with the input
* layer.
* @param OptimizerType The optimizer used to update the weight matrix.
* @param WeightInitRule The weight initialize rule used to initialize the
* weight matrix.
*/
SelfConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
OptimizerType& optimizer,
WeightInitRule weightInitRule = WeightInitRule()) :
inputLayer(inputLayer),
outputLayer(outputLayer),
optimizer(optimizer),
connection(1 - arma::eye<MatType>(inputLayer.OutputSize(),
inputLayer.OutputSize()))
{
weightInitRule.Initialize(weights, outputLayer.InputSize(),
inputLayer.OutputSize());
}
/**
* Create the FullConnection object using the specified input layer, output
* layer, optimizer and weight initialize rule.
*
* @param InputLayerType The input layer which is connected with the output
* layer.
* @param OutputLayerType The output layer which is connected with the input
* layer.
* @param OptimizerType The optimizer used to update the weight matrix.
* @param WeightInitRule The weight initialize rule used to initialize the
* weight matrix.
*/
FullConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
OptimizerType& optimizer,
WeightInitRule weightInitRule = WeightInitRule()) :
inputLayer(inputLayer), outputLayer(outputLayer), optimizer(optimizer)
{
weightInitRule.Initialize(weights, outputLayer.InputSize(),
inputLayer.OutputSize());
}
/**
* Create the SelfConnection object using the specified input layer, output
* layer, optimizer and weight initialize rule.
*
* @param InputLayerType The input layer which is connected with the output
* layer.
* @param OutputLayerType The output layer which is connected with the input
* layer.
* @param OptimizerType The optimizer used to update the weight matrix.
* @param WeightInitRule The weight initialize rule used to initialize the
* weight matrix.
*/
SelfConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
WeightInitRule weightInitRule = WeightInitRule()) :
inputLayer(inputLayer),
outputLayer(outputLayer),
optimizer(new OptimizerType<SelfConnection<InputLayerType,
OutputLayerType,
OptimizerType,
WeightInitRule,
MatType,
VecType>, MatType>(*this)),
ownsOptimizer(true),
connection(1 - arma::eye<MatType>(inputLayer.OutputSize(),
inputLayer.OutputSize()))
{
weightInitRule.Initialize(weights, outputLayer.InputSize(),
inputLayer.OutputSize());
}
/**
* Create the ConvConnection object using the specified input layer, output
* layer, filter size and weight initialization rule.
*
* @param InputLayerType The input layer which is connected with the output
* layer.
* @param OutputLayerType The output layer which is connected with the input
* layer.
* @param filterSize the size of the filter.
* @param WeightInitRule The weights initialization rule used to initialize
* the weights matrix.
*/
ConvConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
const size_t filterSize,
WeightInitRule weightInitRule = WeightInitRule()) :
inputLayer(inputLayer),
outputLayer(outputLayer),
optimizer(new OptimizerType<ConvConnection<InputLayerType,
OutputLayerType,
OptimizerType,
WeightInitRule,
ForwardConvolutionRule,
BackwardConvolutionRule,
GradientConvolutionRule,
DataType>, DataType>(*this)),
ownsOptimizer(true)
{
weightInitRule.Initialize(weights, filterSize, filterSize,
inputLayer.OutputMaps() * outputLayer.OutputMaps());
}
