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TensorFlow

General Information

TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It is used for both research and production at Google.‍  TensorFlow was developed by the Google Brain team for internal Google use. It was released under the Apache License 2.0 on November 9, 2015.

TensorFlow

https://www.tensorflow.org/

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 state-of-the-art in ML and developers easily build and deploy ML powered applications.The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google …The TensorFlow Docker images are already configured to run TensorFlow. A Docker …TensorFlow makes it easy for beginners and experts to create machine learning models …TensorFlow has APIs available in several languages both for constructing and …The TensorFlow pip package includes GPU support for CUDA®-enabled cards: pip …TensorFlow’s high-level APIs are based on the Keras API standard for defining and training …Build a TensorFlow pip package from source and install it on Windows.. Note: We …TensorFlow 2 focuses on simplicity and ease of use, with updates like eager execution, …

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TensorFlow

https://en.wikipedia.org/wiki/TensorFlow

TensorFlow. is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It is used for both research and production at Google.‍ TensorFlow was developed by the Google Brain team for internal Google use. It was released under the Apache License 2.0 on November 9, 2015.

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GitHub - tensorflow/tensorflow: An Open Source …

https://github.com/tensorflow/tensorflow

19.05.2020 · 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 state-of-the-art in ML and developers easily build and deploy ML-powered applications.

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TensorFlow for R

https://tensorflow.rstudio.com/

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 multidimensional data arrays (tensors) communicated between them.

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Install TensorFlow 2

https://www.tensorflow.org/install/

15.07.2020 · The TensorFlow Docker images are already configured to run TensorFlow. A Docker container runs in a virtual environment and is the easiest way to set up GPU support. docker pull tensorflow/tensorflow:latest # Download latest stable image docker run -it -p 8888:8888 tensorflow/tensorflow:latest-jupyter # Start Jupyter server

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tensorflow · PyPI

https://pypi.org/project/tensorflow/

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

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TensorFlow - YouTube

https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ

TensorFlow, our open source machine learning library, is just that—open to anyone. Learn more about the product and how companies, nonprofits, researchers and developers are using it to solve all kinds...

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tensorflow · GitHub

https://github.com/tensorflow

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud. cloud tensorflow keras gcp Jupyter Notebook Apache-2.0 22 146 31 0 Updated Aug 28, 2020. io Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO C++ Apache-2.0 122 349 …

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TensorFlow (@TensorFlow) | Твиттер

https://twitter.com/tensorflow

Последние твиты от TensorFlow (@TensorFlow). TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production. Mountain View, CA.

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TensorFlow Tutorial - Tutorialspoint

https://www.tutorialspoint.com/tensorflow/index.htm

It is used for implementing machine learning and deep learning applications. To develop and research on fascinating ideas on artificial intelligence, Google team created TensorFlow. TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework.

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TensorFlow is an end-to-end open source platform for machine learning.

https://medium.com/tensorflow

Visual Wake Words with TensorFlow Lite Micro. Using TensorFlow 2 for State-of-the-Art Natural Language Processing. A guest post by Thomas Wolf and Lysandre Debut from Hugging Face.

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TensorFlow Community - Home | Facebook

https://www.facebook.com/TensorFlow/

TensorFlow Community. 18,048 likes · 20 talking about this. Community Page by and for TensorFlow Users and Enthusiasts.

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What's new in TensorFlow 2.3? — The …

https://blog.tensorflow.org/2020/07/whats-new-in-tensorflow-2-3.html

TensorFlow 2.3 adds experimental support for the new Keras Preprocessing Layers API. These layers allow you to package your preprocessing logic inside your model for easier deployment - so you can ship a model that takes raw strings, images, or rows from a table as input. There are also new user-friendly

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TensorFlow

https://devopedia.org/tensorflow

Source: TensorFlow GitHub 2018. Five-layer deep neural network partitioned across four machines in DisBelief. GitHub stars of some ML frameworks shows TensorFlow's rising popularity.

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TensorFlow — Anaconda documentation

https://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/

TensorFlow¶. Anaconda makes it easy to install TensorFlow, enabling your data science, machine learning, and artificial intelligence workflows. This page shows how to install TensorFlow with the conda package manager included in Anaconda and Miniconda.. TensorFlow with conda is supported on 64-bit Windows 7 or later, 64-bit Ubuntu Linux 14.04 or later, 64-bit CentOS Linux 6 or later, and ...

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Welcome to TensorFlow.NET's documentation! — TensorFlow.NET...

https://tensorflownet.readthedocs.io/

Welcome to TensorFlow.NET's documentation! Edit on GitHub. The Definitive Guide to TensorFlow.NET.

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TensorFlow 2.0 Tutorial in 10 Minutes | Machine Learning From Scratch

https://mlfromscratch.com/tensorflow-2/

TensorFlow is inevitably the package to use for Deep Learning, if you want the easiest deployment On top of that, Keras is the standard API and is easy to use, which makes TensorFlow powerful for...

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TensorFlow, Keras and deep learning, without a PhD

https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist/

Fortunately, TensorFlow does it for us. The TensorFlow library provides a whole range of optimizers, starting with basic gradient descent tf.keras.optimizers.SGD, which now has an optional...

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Machine Learning with TensorFlow

http://www.tensorflowbook.com/

Learn machine learning and data analysis using Google's new TensorFlow library. Ch 1 A machine learning odyssey. Ch 2 TensorFlow essentials. CORE ALGORITHMS.

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Python TensorFlow Tutorial - Build... - Adventures in Machine Learning

https://adventuresinmachinelearning.com/python-tensorflow-tutorial/

Learn the basics of TensorFlow in this tutorial to set you up for deep learning. Python TensorFlow Tutorial - Build a Neural Network. By Andy | Deep learning.

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TensorFlow Basics: Tensor, Shape, Type, Graph, Sessions & Operators

https://www.guru99.com/tensor-tensorflow.html

Tensorflow's name is directly derived from its core framework: Tensor. In Tensorflow, all the computations involve tensors. A tensor is a vector or matrix of n-dimensions that represents all types...

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Tensorflow Tutorial | Kaggle

https://www.kaggle.com/akashkr/tensorflow-tutorial

Explore and run machine learning code with Kaggle Notebooks | Using data from no data sources...

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Learn how to use TensorFlow with the Deep Learning AMI with Conda.

https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-tensorflow.html

Install TensorFlow's Nightly Build (experimental). You can install the latest TensorFlow build into either or both of the TensorFlow Conda environments on your Deep Learning AMI with Conda.

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TensorFlow 2.3 Features Pipeline Bottleneck Reduction and Improved Preprocessing

https://www.infoq.com/news/2020/08/tensorflow-improved-pipelines/

The TensorFlow project announced the release of version 2.3.0, featuring new mechanisms for reducing input pipeline bottlenecks, Keras layers for pre-processing, and memory profiling.

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Google claims TensorFlow’s OpenCL can double inference performance

https://venturebeat.com/2020/08/17/goo[...]erence-backend-can-double-performance/

Google has adopted an OpenCL-based inference backened for TensorFlow on mobile devices, which the company claims delivers a significant speedup.

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Tachyum Prodigy Native AI Supports TensorFlow and PyTorch

https://finance.yahoo.com/news/tachyum[...]digy-native-ai-supports-120000906.html

Prodigy Universal Processor through support for TensorFlow and PyTorch environments, enabling a faster, less expensive and more dynamic solution for the most challenging artificial ...

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Allen Institute open-sources AllenAct, a framework for research in embodied AI

https://venturebeat.com/2020/08/31/all[...]framework-for-research-in-embodied-ai/

Researchers at the Allen Institute for AI today launched AllenAct, a platform intended to promote reproducible research in embodied AI with a focus on modularity and flexibility. AllenAct, which is ...

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TensorFlow: A guide for IT pros (free PDF)

https://www.techrepublic.com/resource-[...]nsorflow-a-guide-for-it-pros-free-pdf/

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. It offers tremendous opportunities for developers building machine learning into ...

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SD Times news digest: Microsoft launches open source website, TensorFlow Recorder released, and Stackery brings serverless to the Jamstack

https://sdtimes.com/softwaredev/sd-tim[...]ery-brings-serverless-to-the-jamstack/

More information is available here. Google announced that it open sourced the TensorFlow Recorder last week to make it possible for data scientists, engineers, or AI/ML engineers to create image ...

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Synopsys Announces Support of TensorFlow Lite for Microcontrollers on Energy-Efficient ARC EM and ARC HS Processor IP

https://www.design-reuse.com/news/4805[...]icient-arc-em-arc-hs-processor-ip.html

MOUNTAIN VIEW, Calif. -- May 27, 2020-- Synopsys, Inc. (Nasdaq: SNPS) today announced support for TensorFlow for Microcontrollers software from Google, optimized for the Synopsys DSP-enhanced ...

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Big Changes In AI Design

https://semiengineering.com/big-changes-in-ai-design/

One is a growing sophistication of the tooling, both in the training tool sets themselves — such as the whole model optimization toolkit inside of TensorFlow that helps prepare models with deployment ...

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Unlimited acces TensorFlow for Deep Learning Book

Unlimited acces TensorFlow for Deep Learning Book

Click here to Get ebook http://yourlifeisgood.club/?book=1491980451Trial TensorFlow for Deep Learning EbookUnlimied ebook acces TensorFlow for Deep Learning,full ebook TensorFlow for Deep Learning|get now TensorFlow for Deep Learning|TensorFlow for Deep Learning (any file),TensorFlow for Deep Learning view for chrome,TensorFlow for Deep Learning vk.vom,TensorFlow for Deep Learning view playbook,TensorFlow for Deep Learning view for any device

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Learn Deep Learning & Machine Learning With TensorFlow - Mindmajix

Learn Deep Learning & Machine Learning With TensorFlow - Mindmajix

TensorFlow is being used by most of the world’s top multinationals. TensorFlow professionals are earning very high salaries when compared with other technologies. With high demand and a number of job opportunities in this field, people who have taken a first course in machine learning, or at least familiar with supervised learning methods will get benefited from this course.

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How to Make an Amazing Tensorflow Chatbot Easily

How to Make an Amazing Tensorflow Chatbot Easily

Well go over how chatbots have evolved over the years and how Deep Learning has made them way better. Then well build our own chatbot using the Tensorflow machine learning library in Python.\r\rThe code & coding challenge for this video are here:\r\r\rGeorgis winning code for this week:\r\r\rMicks Runner up code for this week:\r\r\rJoin other Wizards on our Slack room:\r\r\rLive sequence to sequence chatbot demo:\r\r\rSome more useful resources on chatbots:\r\r\r\r\rMore resources on Tensorflow:\r\r\r\rPlease Subscribe! And like. And comment. Thats what keeps me going.\r\rAnd please support me on Patreon!:\r

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With Attributes

  • Inception: 9 November 2015
  • Platform: Linux, macOS, Android, iOS, Microsoft Windows
  • Developer: Google Brain
  • Copyright license: Apache Software License, Version 2.0
  • Programming language: C++, Python
  • Software version identifier: 2.3.0