void dllp::conv_layer::print(std::ostream& out) const {
out << "dll::conv_layer_desc<" << c << ", " << v1 << ", " << v2 << ", " << k << ", " << w1 << ", " << w2;
if (!activation.empty()) {
out << "\n , dll::activation<dll::function::" << activation_function(activation) << ">";
}
out << ">::layer_t";
}
void dllp::dense_layer::print(std::ostream& out) const {
out << "dll::dense_layer_desc<" << visible << ", " << hidden;
if (!activation.empty()) {
out << "\n , dll::activation<dll::function::" << activation_function(activation) << ">";
}
out << ">::layer_t";
}
const double Neuron::compute_activation()
{
activation = 0;
for(Synapse *synapse : incoming_synapses) {
activation += synapse->weight * synapse->from->activation;
}
activation += bias;
activation = activation_function(activation);
return activation;
}
void dllp::function_layer::print(std::ostream& out) const {
out << "dll::activation_layer_desc<"
<< "dll::function::" << activation_function(activation)
<< ">::layer_t";
}