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LiteRT overview

TensorFlow Guide

Optimized for on-device machine learning : LiteRT addresses five key ODML constraints: latency (there's no round-trip to a server), privacy (no personal data leaves the device), connectivity (internet...

TensorFlow Tutorials

An open source machine learning library for research and production.

TensorFlow Tutorials

Learn basic and advanced concepts of TensorFlow such as eager execution, Keras high-level APIs and flexible model building.

TF-NumPy Type Promotion

TensorFlow Guide

There are 4 options for type promotion in TensorFlow. By default, TensorFlow raises errors instead of promoting types for mixed type operations. Running tf.numpy.experimental_enable_numpy_behavior() s...

Customizing Saving and Serialization

TensorFlow Guide

A more advanced guide on customizing saving for your layers and models.

Keras: The high-level API for TensorFlow

TensorFlow Guide

Introduction to Keras, the high-level API for TensorFlow.

The Functional API

TensorFlow Guide

Complete guide to the functional API.

Training & evaluation with the built-in methods

TensorFlow Guide

Complete guide to training & evaluation with `fit()` and `evaluate()`.

Serialization and saving

TensorFlow Guide

Complete guide to saving & serializing models.

Making new layers and models via subclassing

TensorFlow Guide

Complete guide to writing `Layer` and `Model` objects from scratch.

Understanding masking & padding

TensorFlow Guide

Complete guide to using mask-aware sequence layers in Keras.

Working with RNNs

TensorFlow Guide

Complete guide to using & customizing RNN layers.

Writing your own callbacks

TensorFlow Guide

Complete guide to writing new Keras callbacks.

Multi-GPU and distributed training

TensorFlow Guide

Guide to multi-GPU & distributed training for Keras models.

Import a JAX model using JAX2TF

TensorFlow Guide

Visualization utilities Toggle code Download and prepare the MNIST dataset Configure training This notebook will create and train a simple model for demonstration purposes. Create the model using Flax...

Instance Segmentation with Model Garden

TensorFlow Guide

Import required libraries Download subset of lvis dataset LVIS : A dataset for large vocabulary instance segmentation. Note: LVIS uses the COCO 2017 train, validation, and test image sets. If you have...

Semantic Segmentation with Model Garden

TensorFlow Guide

Import required libraries Custom dataset preparation for semantic segmentation Models in Official repository (of model-garden) require models in a TFRecords dataformat. Please check this resource to l...

Object detection with Model Garden

TensorFlow Guide

Import required libraries Import required libraries from tensorflow models Custom dataset preparation for object detection Models in official repository(of model-garden) requires data in a TFRecords f...

Introduction to the TensorFlow Models NLP library

TensorFlow Guide

In this Colab notebook, you will learn how to build transformer-based models for common NLP tasks including pretraining, span labelling and classification using the building blocks from NLP modeling l...

Distributed training with Core APIs and DTensor

TensorFlow Guide

This notebook uses the TensorFlow Core low-level APIs and DTensor to demonstrate a data parallel distributed training example. Visit the Core APIs overview to learn more about TensorFlow Core and its ...

Optimizers with Core APIs

TensorFlow Guide

This notebook introduces the process of creating custom optimizers with the TensorFlow Core low-level APIs . Visit the Core APIs overview to learn more about TensorFlow Core and its intended use cases...

Logistic regression for binary classification with Core APIs

TensorFlow Guide

This tutorial uses pandas for reading a CSV file into a DataFrame , seaborn for plotting a pairwise relationship in a dataset, Scikit-learn for computing a confusion matrix, and matplotlib for creatin...

TensorFlow Core APIs overview

TensorFlow Guide

The TensorFlow Core low-level APIs are designed with the following ML Developers in mind: Researchers building complex models with high levels of configurability Developers interested in using TensorF...

Quickstart for the TensorFlow Core APIs

TensorFlow Guide

Import TensorFlow and other necessary libraries to get started: Load and preprocess the dataset Next, you need to load and preprocess the Auto MPG dataset from the UCI Machine Learning Repository . Th...