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TensorFlow
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    New to TensorFlow?
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    Learn how to use TensorFlow with end-to-end examples
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    Learn framework concepts and components
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    Educational resources to master your path with TensorFlow
API
  • TensorFlow (v2.16.1)
  • Versions…
  • TensorFlow.js
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Ecosystem
  • LIBRARIES
  • TensorFlow.js
    Develop web ML applications in JavaScript
  • TensorFlow Lite
    Deploy ML on mobile, microcontrollers and other edge devices
  • TFX
    Build production ML pipelines
  • All libraries
    Create advanced models and extend TensorFlow
  • RESOURCES
  • Models & datasets
    Pre-trained models and datasets built by Google and the community
  • Tools
    Tools to support and accelerate TensorFlow workflows
  • Responsible AI
    Resources for every stage of the ML workflow
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    Build recommendation systems with open source tools
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    Guide for contributing to code and documentation
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    Discussion platform for the TensorFlow community
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Overview Tutorials Guide TFX-Addons API
TensorFlow
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  • What's New
  • TFX-Addons
  • TFX Cloud Solutions
  • Using Keras with TFX
  • Using Non-TensorFlow Frameworks in TFX
  • Mobile & IoT: TFX for TensorFlow Lite
  • TFX Pipelines
  • Understanding TFX pipelines
  • Building a TFX pipeline
  • Local Pipelines
  • TFX Standard Components
  • ExampleGen
  • StatisticsGen
  • SchemaGen
  • ExampleValidator
  • Transform
  • Trainer
  • Tuner
  • Evaluator
  • InfraValidator
  • Pusher
  • BulkInferrer
  • TFX Custom Components
  • Understanding custom components
  • Python function-based components
  • Container-based components
  • Fully custom components
  • Orchestrators
  • Local orchestrator
  • Vertex AI Pipelines
  • Apache Airflow
  • Kubeflow Pipelines
  • TFX CLI
  • Using the TFX CLI
  • Libraries
  • Data Validation
    • Check and analyze data
    • Install
    • Get started
  • Transform
    • Preprocess and transform data
    • Install
    • Get started
    • Using tf.Transform with TensorFlow 2.x
    • Common transformations
    • Data preprocessing best practices
  • Modeling
    • Design modeling code
  • Model Analysis
    • Improving Model Quality
    • Install
    • Get started
    • Setup
    • Metrics and Plots
    • Visualizations
    • Model Validations
    • Using Fairness Indicators
    • Using Fairness Indicators with Pandas DataFrames
    • Architecture
    • FAQ
  • Serving
    • Serving models
    • TensorFlow Serving with Docker
    • Installation
    • Serve a TensorFlow model
    • Architecture
    • Advanced model server configuration
    • Build a TensorFlow ModelServer
    • Use TensorFlow Serving with Kubernetes
    • Create a new kind of servable
    • Create a module that discovers new servable paths
    • Serving TensorFlow models with custom ops
    • SignatureDefs in SavedModel for TensorFlow Serving
  • Related projects
  • Apache Beam
  • MLTransform
  • ML Metadata
  • TensorBoard
  • Introduction
  • Tutorials
  • Guide
  • Learn ML
  • TensorFlow (v2.16.1)
  • Versions…
  • TensorFlow.js
  • TensorFlow Lite
  • TFX
  • LIBRARIES
  • TensorFlow.js
  • TensorFlow Lite
  • TFX
  • All libraries
  • RESOURCES
  • Models & datasets
  • Tools
  • Responsible AI
  • Recommendation systems
  • Groups
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  • About
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  • TensorFlow
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