Warrior_EA/AI/LayerDescription.mqh

//+------------------------------------------------------------------+
//|                                              LayerDescription.mqh|
//|                                                     AnimateDread |
//|                                             https://www.mql5.com |
//+------------------------------------------------------------------+
//| CLayerDescription - plain topology-spec data holder consumed by  |
//| CNet's topology-build code (AI\Network.mqh). Self-contained (no  |
//| class-type dependencies, just enum/int defaults). Extracted      |
//| verbatim (SOLID cleanup) - no logic changes.                      |
//+------------------------------------------------------------------+
class CLayerDescription    :  public CObject
  {
public:
                     CLayerDescription(void);
                    ~CLayerDescription(void) {};
   //---
   int               type;
   int               count;
   int               window;
   int               step;
   //--- Batch-normalization layers only (defNeuronBatchNorm): the EMA window length over which the
   //--- running mean/variance are estimated. Ignored by every other layer type. Not folded into
   //--- `window`, which already means "input window width" for conv/pool and would read as a
   //--- completely different quantity here.
   int               batch;
   ENUM_ACTIVATION   activation;
   ENUM_OPTIMIZATION optimization;
  };
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
CLayerDescription::CLayerDescription(void)   :  type(defNeuron),
   count(0),
   window(1),
   step(1),
   batch(1),   // 1 == normalization disabled; only batch-norm descriptors ever raise it
   activation(TANH),
   optimization(SGD)
  {}