|
gptkbp:instanceOf
|
machine learning model format
|
|
gptkbp:canBe
|
gptkb:REST_API
C++ API
Python API
|
|
gptkbp:canBeLoadedWith
|
gptkb:TensorFlow
gptkb:TensorFlow_Lite_Converter
gptkb:TensorFlow_Serving
|
|
gptkbp:canBeVersioned
|
yes
|
|
gptkbp:compatibleWith
|
gptkb:TensorFlow.js
gptkb:TensorFlow_Lite
gptkb:TensorFlow_Serving
|
|
gptkbp:contains
|
variables
assets
model architecture
model weights
|
|
gptkbp:convertedTo
|
TensorFlow Lite format
TensorFlow.js format
|
|
gptkbp:developedBy
|
gptkb:Google
|
|
gptkbp:directoryStructure
|
variables
assets
saved_model.pb
|
|
gptkbp:documentation
|
https://www.tensorflow.org/guide/saved_model
|
|
gptkbp:exportedTo
|
gptkb:Keras
tf.estimator
|
|
gptkbp:fileExtension
|
.pb
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TensorFlow SavedModel
|
|
gptkbp:introducedIn
|
TensorFlow 1.0
|
|
gptkbp:mayInclude
|
custom objects
TensorFlow assets
TensorFlow graphs
TensorFlow variables
|
|
gptkbp:optimizedFor
|
mobile
inference
web
edge devices
deployment
|
|
gptkbp:replacedBy
|
TensorFlow Checkpoint
|
|
gptkbp:serialization
|
gptkb:Protocol_Buffers
|
|
gptkbp:standardizedBy
|
no
|
|
gptkbp:supports
|
model deployment
model serving
model export
model serialization
custom metadata
multiple signatures
signature definitions
|
|
gptkbp:usedFor
|
model versioning
model reproducibility
model sharing
|
|
gptkbp:usedIn
|
gptkb:TensorFlow
|
|
gptkbp:bfsParent
|
gptkb:ONNX
|
|
gptkbp:bfsLayer
|
5
|