HDlModel🔗
Name🔗
HDlModel — Represents an instance of a Deep Neural Network.
Constructors🔗
CreateDlModel |
Create a deep learning model. |
CreateDlModelDetection |
Create a deep learning network for object detection or instance segmentation. |
ReadDlModel |
Read a deep learning model from a file. |
Methods🔗
AddDlPruningBatch |
Calculate scores to prune a deep learning model. |
ApplyDlModel |
Apply a deep-learning-based network on a set of images for inference. |
ClearDlModel |
Clear a deep learning model. |
CreateDlModel |
Create a deep learning model. |
CreateDlModelDetection |
Create a deep learning network for object detection or instance segmentation. |
CreateDlPruning |
Create a pruning data handle. |
DeserializeDlModel |
Deserialize a deep learning model. |
GenDlModelHeatmap |
Infer the sample and generate a heatmap. |
GenDlPrunedModel |
Prune a deep learning model. |
GetDlModelLayer |
Create a deep copy of the layers and all of their graph ancestors in a given deep learning model. |
GetDlModelLayerActivations |
Get the activations of a Deep Learning model layer. |
GetDlModelLayerGradients |
Get the gradients of a Deep Learning model layer. |
GetDlModelLayerWeights |
Get the weights (or values) of a Deep Learning model layer. |
GetDlModelParam |
Return the parameters of a deep learning model. |
LoadDlModelWeights |
Load the weights of a source model into a target model. |
OptimizeDlModelForInference |
Optimize a model for inference on a device via the AI²-interface. |
ReadDlModel |
Read a deep learning model from a file. |
SerializeDlModel |
Serialize a deep learning model. |
SetDlModelLayerWeights |
Set the weights (or values) of a Deep Learning model layer. |
SetDlModelParam |
Set the parameters of a deep learning model. |
TrainDlModelAnomalyDataset |
Train a deep learning model for anomaly detection. |
TrainDlModelBatch |
Train a deep learning model. |
WriteDlModel |
Write a deep learning model in a file. |