[Fix] fix doxygen comments

Signed-off-by: Jiho Chu <[email protected]>

nntrainer/graph/network_graph.cpp

@@ -85,7 +85,8 @@ int NetworkGraph::compile(const std::string &loss_type) {
   status = checkCompiledGraph();
   NN_RETURN_STATUS();
 
-  /* @note It can be integrated with addLossLayer method
+  /**
+   * @note It can be integrated with addLossLayer method
    * if it removes adding loss layer to the model directly.
    */
   for (auto iter = cbegin(); iter != cend(); iter++) {
@@ -447,7 +448,7 @@ void NetworkGraph::backwarding(
 
   // check first layer's derivative is valid
   // loss scale is adjusted between 1.0f ~ 256.0f
-  // @TODO provide max scale property
+  // @todo provide max scale property
   auto &ln = *(cbegin() + 1);
   if (loss_scale != 0.0f && !ln->getRunContext().validateDerivatives()) {
     // It will not apply train results if data is invalid

nntrainer/layers/loss/mse_loss_layer.cpp

@@ -76,7 +76,8 @@ void MSELossLayer::calcDerivative(RunLayerContext &context) {
 
   float divider = ((float)y.size()) / 2;
 
-  /* ret_derivative may be eliminated by big divider with fp16 calculation.
+  /**
+   * ret_derivative may be eliminated by big divider with fp16 calculation.
    * So, it calcuated with larger precision.
    */
   int ret;