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TensorFlow (@TensorFlow) / Twitter

TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.

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TensorFlow - Embedding projector - visualization of high …

Visualize high dimensional data.

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关于TensorFlow | TensorFlow中文官网

TensorFlow是一个端到端开源机器学习平台。它拥有一个全面而灵活的生态系统，其中包含各种工具、库和社区资源，可助力研究人员推动先进机器学习技术的发展。在 TensorFlow机器学 …

Tensorflow.google.cn

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GitHub - tensorflow/tensorflow: An Open Source Machine …

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the …

Github.com

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TensorFlow Tutorial - Biggest Online Tutorials Library

TensorFlow Tutorial. TensorFlow is an open source machine learning framework for all developers. It is used for implementing machine learning and deep learning applications. To …

Tutorialspoint.com

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deep1b | TensorFlow Datasets

Deep1b. Note: This dataset was added recently and is only available in our tfds-nightly package nights_stay. Description: Pre-trained embeddings for approximate nearest neighbor search …

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Introduction to TensorFlow - GeeksforGeeks

This article is a brief introduction to TensorFlow library using Python programming language.. Introduction. TensorFlow is an open-source software library.TensorFlow was …

Geeksforgeeks.org

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TensorFlow Intro - W3Schools

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 …

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TensorFlow Hub

TensorFlow Hub ... Loading...

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tensorflow · PyPI

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety …

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Introducing TensorFlow Graph Neural Networks

November 18, 2021 — Posted by Sibon Li, Jan Pfeifer and Bryan Perozzi and Douglas Yarrington Today, we are excited to release TensorFlow Graph Neural Networks …

Blog.tensorflow.org

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What is TensorFlow? How it Works? Introduction & Architecture

TensorFlow Architecture. Tensorflow architecture works in three parts: Preprocessing the data; Build the model; Train and estimate the model; It is called Tensorflow …

Guru99.com

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YOLOv3 Object Detection in TensorFlow 2.x - Medium

The code for this designed to run on Python 3.7 and TensorFlow 2.0 can be found in my GitHub repository. In my repo, you will find a notebook (.ipynb file) which is a detection …

Medium.com

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TensorFlow now defaults to Intel oneDNN AI optimizations

The open-source oneAPI Deep Neural Network Library ( oneDNN) developed by Intel is now on by default in TensorFlow, a project led by Google. OneDNN is an open-source …

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Part 1: Importing the TensorFlow.js and BodyPix Libraries

November 18, 2019 — Update(November 18th, 2019) BodyPix 2.0 has been released, with multi-person support and improved accuracy (based on ResNet50), a new API, …

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GitHub - ihsanmukhlis/TensorFlow-examples: TensorFlow examples

This is the TensorFlow example repo. It has several classes of material: Showcase examples and documentation for our fantastic TensorFlow Community. Publish supporting material for …

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How To Check TensorFlow Version | phoenixNAP KB

TensorFlow Newer Versions. The TensorFlow 2.x versions provide a method for printing the TensorFlow version. To check which one is on your system, use: import …

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Implementing Particle Swarm Optimization in Tensorflow

Hey, you all!! I'm presenting here a TensorFlow implementation of the particle swarm optimization algorithm. A brief explanation of PSO… Continue reading on Towards AI » …

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Tensorflow :: Anaconda.org

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with …

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TensorFlow for R

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 …

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