See: Description
Interface | Description |
---|---|
ExecutionEnvironment |
Defines an environment for creating and executing TensorFlow
Operation s. |
Graph.WhileSubgraphBuilder |
Used to instantiate an abstract class which overrides the buildSubgraph method to build a
conditional or body subgraph for a while loop.
|
Operand<T> |
Interface implemented by operands of a TensorFlow operation.
|
Operation |
Performs computation on Tensors.
|
OperationBuilder |
A builder for
Operation s. |
Class | Description |
---|---|
EagerSession |
An environment for executing TensorFlow operations eagerly.
|
EagerSession.Options | |
Graph |
A data flow graph representing a TensorFlow computation.
|
GraphOperation | |
GraphOperationBuilder | |
Output<T> |
A symbolic handle to a tensor produced by an
Operation . |
SavedModelBundle |
SavedModelBundle represents a model loaded from storage.
|
SavedModelBundle.Loader |
Options for loading a SavedModel.
|
Server |
An in-process TensorFlow server, for use in distributed training.
|
Session |
Driver for
Graph execution. |
Session.Run |
Output tensors and metadata obtained when executing a session.
|
Shape |
The possibly partially known shape of a tensor produced by an operation.
|
Tensor<T> |
A statically typed multi-dimensional array whose elements are of a type described by T.
|
TensorFlow |
Static utility methods describing the TensorFlow runtime.
|
Tensors |
Type-safe factory methods for creating
Tensor objects. |
Enum | Description |
---|---|
DataType |
Represents the type of elements in a
Tensor as an enum. |
EagerSession.DevicePlacementPolicy |
Controls how to act when we try to run an operation on a given device but some input tensors
are not on that device.
|
EagerSession.ResourceCleanupStrategy |
Controls how TensorFlow resources are cleaned up when they are no longer needed.
|
Exception | Description |
---|---|
TensorFlowException |
Unchecked exception thrown when executing TensorFlow Graphs.
|
WARNING: The API is currently experimental and is not covered by TensorFlow API stability guarantees. See README.md for installation instructions.
The LabelImage example demonstrates use of this API to classify images using a pre-trained Inception architecture convolutional neural network. It demonstrates:
Additional examples can be found in the tensorflow/models GitHub repository.
Copyright © 2022. All rights reserved.