The loss of a NeuralNetwork is computed using the formula (Expected Ouput - Actual Output)^2 The mean of all these values across the output tensor is used when crunching down the loss to a single value. More...
#include <Loss.h>
Inheritance diagram for SmartEngine::ILoss:
Public Member Functions | |
| virtual float | GetLoss ()=0 |
| Returns the mean L2 loss using the current network and expected state More... | |
 Public Member Functions inherited from SmartEngine::IGraphNode | |
| virtual const char * | GetName () const =0 |
| Returns the name of the graph node. More... | |
| virtual int | GetOutputDimension () const =0 |
| Returns the dimension of a single row of this node's output. The Output property's length will be a multiple of this value. More... | |
| virtual ObjectPtr< IMatrix > | Execute ()=0 |
| Synchronously execute the graph. The returned matrix is read-only. More... | |
| virtual ObjectPtr< IMatrix > | GetLastExecutionResult ()=0 |
| Get the results of last execution of the graph. The returned matrix is read-only. More... | |
| Public Member Functions inherited from SmartEngine::IObject | |
| virtual ObjectId | GetId () const =0 |
| Returns the ID of this object. More... | |
| virtual void | AddRef () const =0 |
| Increments the internal reference count on this object. It is not common to use this method directly. More... | |
| virtual void | Release () const =0 |
| Decrements the internal reference count on this object. It is not common to use this method directly. More... | |
| virtual int | GetRefCount () const =0 |
| Returns the number of references to this object. More... | |
| virtual void * | QueryInterface (ObjectClassId id)=0 |
| Queries the object for an interface and returns a pointer to that interface if found. More... | |
| void | operator= (IObject const &x)=delete |
Additional Inherited Members | |
| Public Attributes inherited from SmartEngine::IObject | |
| private | |
| __pad0__: IObject() {} IObject(IObject const&) = delete | |
Detailed Description
The loss of a NeuralNetwork is computed using the formula (Expected Ouput - Actual Output)^2 The mean of all these values across the output tensor is used when crunching down the loss to a single value.
Member Function Documentation
◆ GetLoss()
|
pure virtual |
Returns the mean L2 loss using the current network and expected state
- Returns
