246 lines
8.9 KiB
YAML
246 lines
8.9 KiB
YAML
upper_tabs:
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- name: "Install"
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lower_tabs:
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guides:
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- include: /install/_toc.yaml
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- name: "Learn"
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path: /learn/
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is_default: true
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menu:
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- include: /learn/_menu_toc.yaml
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lower_tabs:
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# Subsite tabs
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other:
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- name: "Tutorials"
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contents:
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- title: "TensorFlow Lite Tutorials"
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path: /lite/tutorials
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- heading: "Vision"
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- title: "Recognize handwritten digits"
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path: https://codelabs.developers.google.com/codelabs/digit-classifier-tflite/
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status: external
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- title: "Recognize flowers on Android"
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path: https://codelabs.developers.google.com/codelabs/recognize-flowers-with-tensorflow-on-android/
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status: external
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- title: "Recognize flowers on iOS"
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path: https://codelabs.developers.google.com/codelabs/recognize-flowers-with-tensorflow-on-ios/
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status: external
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- title: "Transfer learning for image classification"
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path: /lite/tutorials/model_maker_image_classification
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- title: "Image classification on Raspberry Pi"
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path: https://github.com/tensorflow/examples/blob/master/lite/examples/image_classification/raspberry_pi/
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status: external
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- title: "Object Detection on Raspberry Pi"
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path: https://github.com/tensorflow/examples/blob/master/lite/examples/object_detection/raspberry_pi/
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status: external
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- title: "Train a mobile object detector"
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path: https://blog.tensorflow.org/2018/07/training-and-serving-realtime-mobile-object-detector-cloud-tpus.html
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status: external
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- heading: "Text"
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- title: "Text classification with Model Maker"
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path: /lite/tutorials/model_maker_text_classification
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- title: "Question Answer with Model Maker"
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path: /lite/tutorials/model_maker_question_answer
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- heading: "Microcontrollers"
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- title: "Gesture recognition"
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path: https://blog.tensorflow.org/2019/11/how-to-get-started-with-machine.html
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status: external
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- title: "Hotword detection"
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path: https://codelabs.developers.google.com/codelabs/sparkfun-tensorflow/#0
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status: external
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- title: "Person detection"
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path: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples/person_detection
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status: external
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- name: "Guide"
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contents:
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- title: "TensorFlow Lite guide"
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path: /lite/guide
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- heading: "Get started"
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- title: "Overview"
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path: /lite/guide/get_started
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- title: "Android quickstart"
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path: /lite/guide/android
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- title: "iOS quickstart"
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path: /lite/guide/ios
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- title: "Python quickstart"
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path: /lite/guide/python
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- title: "FAQ"
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path: /lite/guide/faq
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- title: "Roadmap"
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path: /lite/guide/roadmap
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- heading: "Convert a model"
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- title: "Overview"
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path: /lite/convert/
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- title: "Convert RNN models"
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path: /lite/convert/rnn
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- title: "Add metadata"
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path: /lite/convert/metadata
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- title: "Sample models"
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path: /lite/guide/hosted_models
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- title: "API updates"
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path: /lite/convert/api_updates
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- heading: "Create a model"
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- title: "TensorFlow Lite Model Maker"
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status: experimental
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path: /lite/guide/model_maker
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- heading: "Run Inference"
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- title: "Overview"
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path: /lite/guide/inference
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- title: "Operator compatibility"
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path: /lite/guide/ops_compatibility
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- title: "Select operators"
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path: /lite/guide/ops_select
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- title: "Custom operators"
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path: /lite/guide/ops_custom
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- title: "Fused operators"
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path: /lite/convert/operation_fusion
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- title: "Operator versions"
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path: /lite/guide/ops_version
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status: experimental
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- heading: "Run Inference with metadata"
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- title: "Overview"
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path: /lite/inference_with_metadata/overview
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- title: "Generate model interfaces with codegen"
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path: /lite/inference_with_metadata/codegen
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- title: "Integrate models with Task Library"
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path: /lite/inference_with_metadata/task_library/overview
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section:
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- title: "ImageClassifier"
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path: /lite/inference_with_metadata/task_library/image_classifier
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- title: "ObjectDetector"
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path: /lite/inference_with_metadata/task_library/object_detector
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- title: "ImageSegmenter"
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path: /lite/inference_with_metadata/task_library/image_segmenter
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- title: "NLClassifier"
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path: /lite/inference_with_metadata/task_library/nl_classifier
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- title: "BertNLClassifier"
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path: /lite/inference_with_metadata/task_library/bert_nl_classifier
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- title: "BertQuestionAnswerer"
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path: /lite/inference_with_metadata/task_library/bert_question_answerer
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- title: "Customized API"
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path: /lite/inference_with_metadata/task_library/customized_task_api
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- title: "Customize input and output data processing"
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path: /lite/inference_with_metadata/lite_support
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- heading: "Performance"
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- title: "Best practices"
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path: /lite/performance/best_practices
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- title: "Measurement"
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path: /lite/performance/measurement
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- title: "Delegates"
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path: /lite/performance/delegates
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- title: "GPU delegate"
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path: /lite/performance/gpu
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- title: "Advanced GPU"
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path: /lite/performance/gpu_advanced
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- title: "NNAPI delegate"
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path: /lite/performance/nnapi
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- title: "Hexagon delegate"
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path: /lite/performance/hexagon_delegate
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status: experimental
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- title: "Core ML delegate"
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path: /lite/performance/coreml_delegate
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status: experimental
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- title: "Implementing a delegate"
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path: /lite/performance/implementing_delegate
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status: experimental
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- heading: "Optimize a model"
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- title: "Overview"
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path: /lite/performance/model_optimization
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- title: "Post-training quantization"
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path: /lite/performance/post_training_quantization
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- title: "Post-training dynamic range quantization"
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path: /lite/performance/post_training_quant
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- title: "Post-training integer quantization"
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path: /lite/performance/post_training_integer_quant
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- title: "Post-training float16 quantization"
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path: /lite/performance/post_training_float16_quant
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- title: "Post-training integer quantization with int16 activations"
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path: /lite/performance/post_training_integer_quant_16x8
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status: experimental
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- title: "Quantization specification"
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path: /lite/performance/quantization_spec
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- heading: "Build TensorFlow Lite"
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- title: "Build for Android"
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path: /lite/guide/build_android
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- title: "Build for iOS"
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path: /lite/guide/build_ios
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- title: "Build for ARM64"
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path: /lite/guide/build_arm64
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- title: "Build for Raspberry Pi"
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path: /lite/guide/build_rpi
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- title: "Reduce binary size"
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path: /lite/guide/reduce_binary_size
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status: experimental
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- heading: "Microcontrollers"
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- title: "Overview"
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path: /lite/microcontrollers
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- title: "Get started with microcontrollers"
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path: /lite/microcontrollers/get_started
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- title: "Understand the C++ library"
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path: /lite/microcontrollers/library
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- title: "Build and convert models"
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path: /lite/microcontrollers/build_convert
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- name: "Examples"
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contents:
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- title: "Examples"
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path: /lite/examples
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- name: "Models"
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contents:
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- title: "Overview"
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path: /lite/models/
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- heading: "Vision"
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- title: "Image classification"
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path: /lite/models/image_classification/overview
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- title: "Object detection"
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path: /lite/models/object_detection/overview
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- title: "Pose estimation"
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path: /lite/models/pose_estimation/overview
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- title: "Segmentation"
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path: /lite/models/segmentation/overview
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- title: "Style transfer"
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path: /lite/models/style_transfer/overview
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- heading: "Text"
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- title: "Question and answer"
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path: /lite/models/bert_qa/overview
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- title: "Smart reply"
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path: /lite/models/smart_reply/overview
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- title: "Text classification"
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path: /lite/models/text_classification/overview
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- heading: "Others"
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- title: "Recommendation"
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path: /lite/models/recommendation/overview
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- name: "API"
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skip_translation: true
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contents:
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- title: "API Reference"
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path: /lite/api_docs/
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- heading: "Python"
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- include: /lite/api_docs/python/tf/lite/_toc.yaml
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- heading: "Android (Java)"
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- include: /lite/api_docs/java/_toc.yaml
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- heading: "C++"
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- title: "Overview"
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path: /lite/api_docs/cc/
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- include: /lite/api_docs/cc/_doxygen.yaml
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- include: /api_docs/_upper_tabs_api.yaml
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- include: /resources/_upper_tabs_resources.yaml
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- include: /_upper_tabs_right.yaml
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