Mar 28, 2023 · TensorFlow 2.12 has been released! Highlights of this release include the new Keras model saving and exporting format, and many more exciting updates.

Aug 18, 2025 · TensorFlow is an open-source machine learning framework used to build, train and deploy deep learning models for tasks like prediction, classification, image recognition and time …

In TensorFlow's global community you can connect with other users and contributors. Explore ways to get involved, and stay up-to-date with TensorFlow.

Jan 28, 2021 · TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. TensorFlow Serving makes it easy to deploy new …

Dec 19, 2025 · Multi-framework support Deploy via LiteRT Obtain a model Use .tflite pre-trained models or convert PyTorch, JAX or TensorFlow models to .tflite

Sep 3, 2025 · sudo apt-get update && sudo apt-get install -y llvm-17 clang-17 Now that /usr/lib/llvm-17/bin/clang is the actual path to clang in this case. Alternatively, you can download and unpack the …

Explore repositories and other resources to find available models and datasets created by the TensorFlow community.

An open source machine learning library for research and production.

Discover TensorFlow Docker images for seamless app containerization and integration into your development workflow.

TensorFlow examples. Contribute to tensorflow/examples development by creating an account on GitHub.

Mar 23, 2024 · Overview This guide provides a list of best practices for writing code using TensorFlow 2 (TF2), it is written for users who have recently switched over from TensorFlow 1 (TF1). Refer to the …

Welcome to the official TensorFlow YouTube channel. Stay up to date with the latest TensorFlow news, tutorials, best practices, and more! TensorFlow is an open-source machine learning framework ...

Feb 6, 2024 · Announcing the release of TensorFlow GNN 1.0, a production-tested library for building GNNs at Google scale, supporting both modeling and training.

CS20 SI: TensorFlow for DeepLearning Research - Stanford Course about Tensorflow from 2017 - Syllabus - Unofficial Videos TensorFlow World - Concise and ready-to-use TensorFlow tutorials with …

Jul 23, 2025 · Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school …

TensorFlow enables your data science, machine learning, and artificial intelligence workflows. This page shows how to install TensorFlow using the conda package manager included in Anaconda and …

Oct 28, 2024 · TensorFlow 2.18 is available now, with NumPy 2.0 support, LiteRT repository, CUDA updates, Hermetic CUDA for improved build reproducibility, and more.

Welcome to the official TensorFlow YouTube channel. Stay up to date with the latest TensorFlow news, tutorials, best practices, and more! TensorFlow is an open-source machine learning framework ...

Aug 15, 2024 · Introduction to Tensors bookmark_border On this page Basics About shapes Indexing Single-axis indexing Multi-axis indexing More on DTypes View on TensorFlow.org Run in Google …

TensorFlow Tutorials TensorFlow Official Models TensorFlow Examples TensorFlow Codelabs TensorFlow Blog Learn ML with TensorFlow TensorFlow Twitter TensorFlow YouTube TensorFlow …

Jun 29, 2023 · What is TensorFlow? In this article, we explore the history of TensorFlow, its key features and benefits, and real-world examples of its use cases.

Build Deep Learning Models with TensorFlow Use TensorFlow to build and tune deep learning models. Includes Python, Deep Learning, Neural Networks, TensorFlow, Keras, and more.

What Library Are You Using? We wrote a tiny neural network library that meets the demands of this educational visualization. For real-world applications, consider the TensorFlow library.

Aug 16, 2024 · In Colab, connect to a Python runtime: At the top-right of the menu bar, select CONNECT. Run all the notebook code cells: Select Runtime > Run all. Download and install …

Explore TensorFlow's Python API documentation for comprehensive guidance on utilizing its powerful features and functionalities.

ML 초보자 및 전문가를 위해 TensorFlow를 사용하는 방법을 알아보는 완벽한 엔드 투 엔드 예시입니다. Google Colab에서 튜토리얼을 사용해 보세요. 설정이 필요하지 않습니다.

Aug 31, 2024 · 2.17.0 Sentiment analysis This notebook trains a sentiment analysis model to classify movie reviews as positive or negative, based on the text of the review. This is an example of binary …

TensorFlow is the world’s most popular open-source library designed for developing and deploying state-of-the-art machine learning algorithms.

Jun 14, 2025 · docker run -it --rm tensorflow/tensorflow \ python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))" Success: TensorFlow is now installed. Read …

A suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation.

A WebGL accelerated, browser based JavaScript library for training and deploying ML models

Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of Tensorflow 2 marks a step change in the product development, with a …

Ejemplos completos para aprender a usar TensorFlow, para principiantes y expertos en AA. Prueba los instructivos en Google Colab: no se requiere configuración.

TensorFlow is a highly flexible and versatile open-source deep learning framework for building artificial intelligence applications.

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the …

Provides pre-trained models and utilities for deep learning tasks in TensorFlow's Keras API.

Various Dimensions of TensorFlow TensorFlow includes various dimensions. The dimensions are described in brief below − One dimensional Tensor One dimensional tensor is a normal array …

Apr 3, 2024 · TensorFlow includes the full Keras API in the tf.keras package, and the Keras layers are very useful when building your own models.

May 16, 2020 · It is suitable for beginners who want to find clear and concise examples about TensorFlow. Besides the traditional 'raw' TensorFlow implementations, you can also find the latest …

Aug 13, 2025 · The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Jul 24, 2024 · The following versions of the TensorFlow api-docs are currently available. Major features, improvements, and changes of each version are available in the release notes.

Introduction to TensorFlow The next few video lessons will reference this Colab notebook.

Jul 24, 2023 · Setup import tensorflow as tf import keras from keras import layers Introduction This guide covers training, evaluation, and prediction (inference) models when using built-in APIs for training & …

This curriculum is for people who would like to improve their understanding of ML and begin understanding and implementing papers with TensorFlow.

This library is an OSS port of a Google-internal library used in a broad variety of contexts, on homogeneous and heterogeneous graphs, and in conjunction with other scalable graph mining tools. …

TensorFlow was developed by the Google Brain Team for internal Google use, but was released as open software in 2015. In January 2019, Google developers released TensorFlow.js, the JavaScript …

Java bindings for TensorFlow. Contribute to tensorflow/java development by creating an account on GitHub.

Aug 16, 2024 · import glob import imageio import matplotlib.pyplot as plt import numpy as np import os import PIL from tensorflow.keras import layers import time from IPython import display Load and …

May 18, 2022 · The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.

Tinker with a real neural network right here in your browser.