Google TensorFlow

Google TensorFlow is an open-source machine learning framework providing APIs and tools for building, training, and deploying ML models, including TensorFlow Serving for model inference and TensorFlow Hub for reusable model components.

3 APIs 0 Features

AIDeep LearningGoogleMachine LearningModel ServingOpen Source

APIs

TensorFlow Serving REST API

TensorFlow Serving provides a REST API for serving trained TensorFlow models in production environments. The API supports model prediction (inference), classification, and regre...

TensorFlow Hub API

TensorFlow Hub provides a repository of reusable trained machine learning models. The API allows developers to search, discover, and download pre-trained models and model compon...

TensorFlow Model Analysis API

TensorFlow Model Analysis (TFMA) provides tools and APIs for evaluating TensorFlow models. It enables computing metrics over large datasets using Apache Beam, slicing evaluation...

Collections

Google TensorFlow TensorFlow Serving REST API

OPEN

Pricing Plans

Google Tensorflow Plans Pricing

1 plans

PLANS

Rate Limits

Google Tensorflow Rate Limits

2 limits

RATE LIMITS

FinOps

Google Tensorflow Finops

FINOPS

Semantic Vocabularies

Google Tensorflow Context

0 classes · 4 properties

JSON-LD

Resources

Sources

opencollection: 1.0.0
info:
  name: Google TensorFlow TensorFlow Serving REST API
  version: '1'
items:
- info:
    name: Model Status
    type: folder
  items:
  - info:
      name: Google TensorFlow Get model status
      type: http
    http:
      method: GET
      url: http://localhost:8501/v1/models/:model_name
      params:
      - name: model_name
        value: ''
        type: path
        description: The name of the model
    docs: Returns the status of a model including available versions.
  - info:
      name: Google TensorFlow Get model metadata
      type: http
    http:
      method: GET
      url: http://localhost:8501/v1/models/:model_name/metadata
      params:
      - name: model_name
        value: ''
        type: path
        description: The name of the model
    docs: Returns metadata for a model including signature definitions that describe the model's inputs and outputs.
- info:
    name: Prediction
    type: folder
  items:
  - info:
      name: Google TensorFlow Predict
      type: http
    http:
      method: POST
      url: http://localhost:8501/v1/models/:model_name:predict
      params:
      - name: model_name
        value: ''
        type: path
        description: The name of the model
      body:
        type: json
        data: '{}'
    docs: Runs prediction (inference) on a model. Accepts input tensors and returns output tensors from the model's serving
      signature.
  - info:
      name: Google TensorFlow Classify
      type: http
    http:
      method: POST
      url: http://localhost:8501/v1/models/:model_name:classify
      params:
      - name: model_name
        value: ''
        type: path
        description: The name of the model
      body:
        type: json
        data: '{}'
    docs: Runs classification on a model. Returns class labels and scores for the given input examples.
  - info:
      name: Google TensorFlow Regress
      type: http
    http:
      method: POST
      url: http://localhost:8501/v1/models/:model_name:regress
      params:
      - name: model_name
        value: ''
        type: path
        description: The name of the model
      body:
        type: json
        data: '{}'
    docs: Runs regression on a model. Returns regression values for the given input examples.
bundled: true