PLearn 0.1
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Go to the source code of this file.
Classes | |
class | PLearn::SupervisedDBN |
Hinton's DBN plus supervised gradient from a logistic regression layer but without joint layer on top. More... | |
class | PLearn::DiffTemplate< ObjectType, SupervisedDBN > |
class | PLearn::TypeTraits< SupervisedDBN > |
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
Object * | PLearn::toObjectPtr (const SupervisedDBN &o) |
PStream & | PLearn::operator>> (PStream &in, SupervisedDBN &o) |
PStream & | PLearn::operator>> (PStream &in, SupervisedDBN *&o) |
PStream & | PLearn::operator<< (PStream &out, const SupervisedDBN &o) |
PStream & | PLearn::operator>> (PStream &in, PP< SupervisedDBN > &o) |
template<class ObjectType > | |
int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, SupervisedDBN > *opt, PLearnDiff *diffs) |
Definition in file SupervisedDBN.h.