INDEX
Explanations
concepts related to deep learning feature extraction and evaluation metrics
Features of trained CNNs
trained detectors and descriptors
New Auto-Interp
Negative Logits
idén
-0.57
InvalidProtocol
-0.56
AssemblyVersion
-0.54
archiviato
-0.53
êque
-0.52
ragment
-0.52
idéia
-0.50
refusé
-0.49
swatches
-0.48
SourceChecksum
-0.47
POSITIVE LOGITS
adaptiveStyles
0.83
machine
0.69
Machine
0.67
disent
0.66
interpre
0.66
deep
0.63
Transfer
0.62
transfer
0.61
Machine
0.59
adversarial
0.59
Activations Density 1.384%