TF Saved Model

GPTKB entity

Statements (51)
Predicate Object
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