diff --git a/include/aidge/operator/ReLU.hpp b/include/aidge/operator/ReLU.hpp
index 9b264c1d3d7955f71538dd90f105cfd7ee469d0a..a9a84a3ee80eea5c0032fa08bce4ab96c44dba04 100644
--- a/include/aidge/operator/ReLU.hpp
+++ b/include/aidge/operator/ReLU.hpp
@@ -25,16 +25,34 @@
 
 namespace Aidge {
 
-class ReLU_Op : public OperatorTensor,
-    public Registrable<ReLU_Op, std::string, std::function<std::shared_ptr<OperatorImpl>(const ReLU_Op&)>> {
+/**
+ * @brief Description of an element-wise Rectified Linear Unit (ReLU) operation
+ * on an input Tensor.
+ *
+ * For each element x in the input, the function is defined as:
+ * `f(x) = max(0, x)`
+ *
+ * The input and output Tensors have the same dimensions.
+ *
+ * @see OperatorTensor
+ * @see Registrable
+ */
+class ReLU_Op :
+    public OperatorTensor,
+    public Registrable<ReLU_Op,  // <Op, backend, implementation creation function>
+        std::string,
+        std::function<std::shared_ptr<OperatorImpl>(const ReLU_Op&)>>
+{
 public:
     static const std::string Type;
 
     ReLU_Op() : OperatorTensor(Type, {InputCategory::Data}, 1) {}
 
     /**
-     * @brief Copy-constructor. Copy the operator attributes and its output tensor(s), but not its input tensors (the new operator has no input associated).
-     * @param op Operator to copy.
+     * @brief Copy-constructor.
+     * @param op ReLU_Op to copy.
+     * @details Copies the operator attributes and its output tensor(s), but not
+     * its input tensors. The new operator has no associated input.
      */
     ReLU_Op(const ReLU_Op& op);
 
diff --git a/include/aidge/scheduler/ProdConso.hpp b/include/aidge/scheduler/ProdConso.hpp
index a7c0ed5ae73d1f891744e835f0da5ad14a37f850..fce8d7f6548aaeb04300291d33cc2a5e44fb6fe7 100644
--- a/include/aidge/scheduler/ProdConso.hpp
+++ b/include/aidge/scheduler/ProdConso.hpp
@@ -42,10 +42,14 @@ public:
      */
     virtual Elts_t getNbRequiredData(const IOIndex_t inputIdx) const;
 
-    // Amount of input data that cannot be overwritten during the execution.
+    /**
+     * @brief Amount of input data that cannot be overwritten during the execution.
+     */
     virtual Elts_t getNbRequiredProtected(const IOIndex_t inputIdx) const;
 
-    // Memory required at an output for a given input size.
+    /**
+     * @brief Memory required at an output for a given input size.
+     */
     virtual Elts_t getRequiredMemory(const IOIndex_t outputIdx, const std::vector<DimSize_t> &inputsSize) const;
 
     /**