Package ai.djl

package ai.djl

Contains top level, engine-agnostic classes for both inference and training.

See Also:

• Model
• Device

Related Packages

Package	Description
ai.djl.engine	Contains classes responsible for loading a deep learning engine.
ai.djl.inference	Contains classes to implement inference tasks.
ai.djl.metric	Contains classes to collect metrics information.
ai.djl.modality	Contains utility classes for each of the predefined modalities.
ai.djl.ndarray	Contains classes and interfaces that define an n-dimensional array.
ai.djl.nn	Contains classes to construct neural networks.
ai.djl.repository	Contains a Maven-based Repository format for creating repositories of artifacts such as datasets and model zoos.
ai.djl.training	Contains classes and implementations to train a neural network.
ai.djl.translate	Contains classes and interfaces that translate between java objects and NDArrays.

Class	Description
Application	A class contains common tasks that can be completed using deep learning.
Application.Audio	The common set of applications for audio data.
Application.CV	The common set of applications for computer vision (image and video data).
Application.NLP	The common set of applications for natural language processing (text data).
Application.Tabular	The common set of applications for tabular data.
Application.TimeSeries	The common set of applications for timeseries extension.
BaseModel	BaseModel is the basic implementation of Model.
Device	The Device class provides the specified assignment for CPU/GPU processing on the NDArray.
Device.MultiDevice	A combined Device representing the composition of multiple other devices.
Device.Type	Contains device type string constants.
MalformedModelException	Thrown to indicate Model parameters are not in expected format or are malformed.
Model	A model is a collection of artifacts that is created by the training process.
ModelException	Thrown to indicate Model parameter or load exceptions parent to Model Exceptions.
TrainingDivergedException	Thrown to indicate when there is a divergence during Training.