TensorFlow Hub tutorials to help you get started with using and adapting pre-trained machine learning models to your needs.| TensorFlow
TensorFlow Hub is an open repository and library for reusable machine learning.| TensorFlow
View on TensorFlow.org| TensorFlow
Explore libraries to build advanced models or methods using TensorFlow, and access domain-specific application packages that extend TensorFlow.| TensorFlow
A suite of tools for optimizing ML models for deployment and execution. Improve performance and efficiency, reduce latency for inference at the edge.| TensorFlow
The TensorFlow Model Optimization Toolkit minimizes the complexity of| TensorFlow
TensorFlow Serving is a flexible, high-performance serving system for machine| TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.| TensorFlow
Represents a potentially large set of elements.| TensorFlow
A tf.Tensor represents a multidimensional array of elements.| TensorFlow
View on TensorFlow.org| TensorFlow
View on TensorFlow.org| TensorFlow
tf.feature_columns to Keras preprocessing layers" />| TensorFlow
DO NOT EDIT.| TensorFlow
A Keras layer for accelerating embedding lookups for large tables with TPU.| TensorFlow
TensorFlow.js is a JavaScript library for training and deploying machine| TensorFlow
This tutorial shows you how to use TensorFlow Serving components to export a| TensorFlow
Post-training quantization includes general techniques to reduce CPU and| TensorFlow
Public API for tf._api.v2.data namespace| TensorFlow
A preprocessing layer which maps text features to integer sequences.| TensorFlow
Learn how to install TensorFlow on your system. Download a pip package, run in a Docker container, or build from source. Enable the GPU on supported cards.| TensorFlow
This guide demonstrates how to use the tools available with the TensorFlow| TensorFlow
Learn basic and advanced concepts of TensorFlow such as eager execution, Keras high-level APIs and flexible model building.| TensorFlow
Overview of how to leverage preprocessing layers to create end-to-end models.| TensorFlow
This is the class from which all layers inherit.| TensorFlow
あらゆるユーザーを対象とした、エンドツーエンドのオープンソース機械学習プラットフォーム。各種ツール、ライブラリ、コミュニティ リソースを備え、柔軟性に富んだ TensorFlow のエコシステムをご確認ください。| TensorFlow
DO NOT EDIT.| TensorFlow
An open source machine learning library for research and production.| TensorFlow
Introduction to Keras, the high-level API for TensorFlow.| TensorFlow
Maintained by TensorFlow Model Optimization| TensorFlow
Complete guide to transfer learning & fine-tuning in Keras.| TensorFlow
A suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation.| TensorFlow
Start your TensorFlow training by building a foundation in four learning areas: coding, math, ML theory, and how to build an ML project from start to finish.| TensorFlow
Learn how to integrate Responsible AI practices into your ML workflow using TensorFlow's ecosystem of tools and resources.| TensorFlow
TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Reuse trained models like BERT and Faster R-CNN with just a few lines of code.| TensorFlow
Turns positive integers (indexes) into dense vectors of fixed size.| TensorFlow
Build and manage end-to-end production ML pipelines. TFX components enable scalable, high-performance data processing, model training and deployment.| TensorFlow