SmartEngine
1.6.0
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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>
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 | |
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.
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pure virtual |
Returns the mean L2 loss using the current network and expected state