gptkbp:instance_of
|
gptkb:Tensor_Flow
|
gptkbp:can_be_imported_to
|
gptkb:Tensor_Flow.js
gptkb:Tensor_Flow_Lite
gptkb:Tensor_Flow_Serving
|
gptkbp:can_include
|
gptkb:metadata
custom objects
|
gptkbp:contains
|
weights
model architecture
training configuration
|
gptkbp:created_by
|
tf.saved_model.save
|
gptkbp:developed_by
|
gptkb:Google_Brain_Team
|
gptkbp:exported_to
|
Keras models
Tensor Flow training scripts
|
https://www.w3.org/2000/01/rdf-schema#label
|
TF Saved Model
|
gptkbp:is_available_in
|
open source
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow_1.x
gptkb:Tensor_Flow_2.x
gptkb:TPUs
CPUs
GPUs
|
gptkbp:is_distributed_by
|
Apache License 2.0
|
gptkbp:is_documented_in
|
API reference
Tensor Flow documentation
|
gptkbp:is_loaded_by
|
tf.saved_model.load
|
gptkbp:is_optimized_for
|
inference
|
gptkbp:is_part_of
|
Tensor Flow ecosystem
|
gptkbp:is_recommended_by
|
Tensor Flow Checkpoints
|
gptkbp:is_supported_by
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
Tensor Flow community
|
gptkbp:is_tested_for
|
unit tests
integration tests
|
gptkbp:is_used_for
|
model evaluation
transfer learning
fine-tuning
|
gptkbp:is_used_in
|
gptkb:cloud_services
gptkb:mobile_applications
research projects
production environments
edge devices
|
gptkbp:latest_version
|
Tensor Flow versioning system
|
gptkbp:serialization
|
gptkb:Protocol_Buffers
|
gptkbp:supports
|
gptkb:Tensor_Flow.js
gptkb:Tensor_Flow_Lite
gptkb:Tensor_Flow_Serving
custom training loops
multi-device training
|
gptkbp:used_for
|
gptkb:machine_learning
|
gptkbp:bfsParent
|
gptkb:tensorflow
|
gptkbp:bfsLayer
|
6
|