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gptkbp:instance_of
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gptkb:software_framework
|
|
gptkbp:bfsLayer
|
4
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gptkbp:bfsParent
|
gptkb:tf.keras.applications
gptkb:TF-Agents
gptkb:ML-Agents_Toolkit
gptkb:Tensor_Flow_Agents
gptkb:Tensor_Flow_Decision_Forests
gptkb:Tensor_Flow_Extended
gptkb:Tensor_Flow_Federated_API
gptkb:Tensor_Flow_Graphics
gptkb:Tensor_Flow_Lite_Converter
gptkb:Tensor_Flow_Privacy
gptkb:Tensor_Flow_Probability
gptkb:Tensor_Flow_Quantum
gptkb:Tensor_Flow_Recommenders
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|
gptkbp:api
|
high-level AP Is
low-level AP Is
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gptkbp:developed_by
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gptkb:Job_Search_Engine
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|
gptkbp:features
|
distributed training
tf.data API
tf.function
custom training loops
eager execution
model saving and loading
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|
gptkbp:has_community
|
large community
|
|
gptkbp:has_documentation
|
extensive documentation
|
|
gptkbp:has_feature
|
gptkb:tf.keras.applications
gptkb:board_game
hyperparameter tuning
visualization tools
model optimization
tf.keras
tf.distribute
tf.keras.callbacks
tf.keras.layers
tf.keras.losses
tf.keras.metrics
tf.keras.models
tf.keras.optimizers
tf.keras.preprocessing
tf.estimator
tf.saved_model
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor Flow 2.x
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow_1.x
|
|
gptkbp:is_used_for
|
gptkb:software_framework
computer vision
natural language processing
reinforcement learning
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:provides
|
gptkb:API
|
|
gptkbp:release_date
|
September 2019
|
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gptkbp:supports
|
gptkb:C++
gptkb:multiple_platforms
gptkb:Library
gptkb:Go
gptkb:Swift
deep learning
Tensor processing units (TP Us)
|
|
gptkbp:tutorials
|
many tutorials available
|
|
gptkbp:used_in
|
gptkb:Research_Institute
production
|