Transforms the result of TensorFlow computations.

This tutorial demonstrates how to classify structured data, such as tabular data, using a simplified version of the PetFinder dataset from a Kaggle competition stored in a CSV file. You will use Keras ...

This tutorial is the first part of a two-part series that demonstrates how to implement custom types of federated algorithms in TensorFlow Federated (TFF) using the Federated Core (FC) - a set of ...

This tutorial builds on the concepts in the Federated Learning for Image Classification tutorial, and demonstrates several other useful approaches for federated learning. In particular, we load a ...

Loads the Federated CelebA dataset. tff.simulation.datasets.celeba.load_data( split_by_clients=True, cache_dir=None ) Downloads and caches the dataset locally. If previously downloaded, tries to load ...

This document is the first in a two-part series that explores the topic of data engineering and feature engineering for machine learning (ML), with a focus on supervised learning tasks. This first ...

TFX is a Google-production-scale machine learning (ML) platform based on TensorFlow. It provides a configuration framework and shared libraries to integrate common components needed to define, launch, ...

The TFX command-line interface (CLI) performs a full range of pipeline actions using pipeline orchestrators, such as Kubeflow Pipelines, Vertex Pipelines. Local orchestrator can be also used for ...

ML Metadata (MLMD) is a library for recording and retrieving metadata associated with ML developer and data scientist workflows. MLMD is an integral part of TensorFlow Extended (TFX), but is designed ...

Your data comes in many shapes; your tensors should too. Ragged tensors are the TensorFlow equivalent of nested variable-length lists. They make it easy to store and process data with non-uniform ...

This guide is for the latest stable version of TensorFlow. For the preview build (nightly), use the pip package named tf-nightly. Refer to these tables for older TensorFlow version requirements. For ...

Before you start, please run the following to make sure that your environment is correctly setup. If you don't see a greeting, please refer to the Installation guide ...