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Oct 5, 2017
10/17

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None Developing a TensorBoard plugin Overview You know (and, we hope, love!) TensorBoardâ€™s core features like the scalar dashboard, the graph explorer, and the embedding projector. However, in every TensorBoard userâ€™s life, there comes a time when they want some cool new visualization that justâ€¦doesnâ€™t exist yet. Thatâ€™s what the TensorBoard plugin system is for. We want to enable everyone in the TensorFlow community to add new dashboards and visualizations to TensorBoard. You can do...

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Jul 17, 2017
07/17

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A library for generalized sequence to sequence models T2T: Tensor2Tensor Transformers T2T is a modular and extensiblelibrary and binaries for supervised learning with TensorFlow and with supportfor sequence tasks. It is actively used and maintained by researchers andengineers within the Google Brain team. You can read more about Tensor2Tensor inthe recent Google Research Blog post introducingit . We're eager to collaborate with you on extending T2T, so please feelfree to open an issue onGitHub...

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Jun 7, 2017
06/17

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A library for benchmarking vulnerability to adversarial examples CleverHans (v1.0.0) This repository contains the source code for CleverHans , a Python library tobenchmark machine learning systems' vulnerability to adversarial examples .You can learn more about such vulnerabilities on the accompanying blog . The CleverHans library is under continual development, always welcomingcontributions of the latest attacks and defenses.In particular, we always welcome help towards resolving the issues...

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Oct 5, 2017
10/17

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TensorFlow's Visualization Toolkit TensorBoard TensorBoard is a suite of web applications for inspecting and understanding yourTensorFlow runs and graphs. This README gives an overview of key concepts in TensorBoard, as well as how tointerpret the visualizations TensorBoard provides. For an in-depth example ofusing TensorBoard, see the tutorial: [TensorBoard: VisualizingLearning][].For in-depth information on the Graph Visualizer, see this tutorial: TensorBoard: Graph Visualization . You may...

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Oct 5, 2017
10/17

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tensorflow

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Models built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here. The research...

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75

Dec 7, 2018
12/18

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tensorflow

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Download the bundle tensorflow-ranking_-_2018-12-06_22-42-47.bundle and run: git clone tensorflow-ranking_-_2018-12-06_22-42-47.bundle -b master Learning to Rank in TensorFlow TensorFlow Ranking TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on theTensorFlow platform. It contains the following components: Commonly used loss functions including pointwise, pairwise, and listwiselosses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and NormalizedDiscounted...

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Jan 31, 2018
01/18

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An open-source implementation of the AlphaGoZero algorithm Minigo: A minimalist Go engine modeled after AlphaGo Zero, built on MuGo This is a pure Python implementation of a neural-network based Go AI, usingTensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is nota DeepMind project nor is it affiliated with the official AlphaGo project. This is NOT an official version of AlphaGo Repeat, this is not the official AlphaGo program by DeepMind . This is anindependent effort by...

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Jun 17, 2017
06/17

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tensorflow

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A library for generalized sequence to sequence models T2T: Tensor2Tensor Transformers T2T is a modular and extensiblelibrary and binaries for supervised learning with TensorFlow and with a focus onsequence tasks. Actively used and maintained by researchers and engineers withinGoogle Brain, T2T strives to maximize idea bandwidth and minimize executionlatency. T2T is particularly well-suited to researchers working on sequence tasks. We'reeager to collaborate with you on extending T2T's powers, so...

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69

Jan 31, 2018
01/18

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An open-source implementation of the AlphaGoZero algorithm Minigo: A minimalist Go engine modeled after AlphaGo Zero, built on MuGo This is a pure Python implementation of a neural-network based Go AI, usingTensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is nota DeepMind project nor is it affiliated with the official AlphaGo project. This is NOT an official version of AlphaGo Repeat, this is not the official AlphaGo program by DeepMind . This is anindependent effort by...

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Oct 5, 2017
10/17

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tensorflow

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Magenta: Music and Art Generation with Machine Intelligence Magenta is a project from the Google Brain team that asks: Can we use machine learning to create compelling art and music? Ifso, how? If not, why not? Weâ€™ll use TensorFlow ,and weâ€™ll release our models and tools in open source on this GitHub. Weâ€™ll alsopost demos, tutorial blog postings, and technical papers. If youâ€™d like to keepup on Magenta as it grows, you can read our blog and or join our discussion group . Getting Started...

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Jun 13, 2017
06/17

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Models built with TensorFlow TensorFlow Models This repository contains machine learning models implemented in TensorFlow . The models are maintained by theirrespective authors. To propose a model for inclusion, please submit a pullrequest. Currently, the models are compatible with TensorFlow 1.0 or later. If you arerunning TensorFlow 0.12 or earlier, please upgrade your installation . Models adversarial_crypto : protecting communications with adversarial neural cryptography. adversarial_text :...

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Aug 8, 2017
08/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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Jul 13, 2017
07/17

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tensorflow

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Models built with TensorFlow TensorFlow Models This repository contains machine learning models implemented in TensorFlow . The models are maintained by theirrespective authors. To propose a model for inclusion, please submit a pullrequest. Currently, the models are compatible with TensorFlow 1.0 or later. If you arerunning TensorFlow 0.12 or earlier, please upgrade your installation . Models adversarial_crypto : protecting communications with adversarial neural cryptography. adversarial_text :...

Topics: GitHub, code, software, git

33
33

Feb 1, 2018
02/18

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tensorflow

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An open-source implementation of the AlphaGoZero algorithm Minigo: A minimalist Go engine modeled after AlphaGo Zero, built on MuGo This is a pure Python implementation of a neural-network based Go AI, usingTensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is nota DeepMind project nor is it affiliated with the official AlphaGo project. This is NOT an official version of AlphaGo Repeat, this is not the official AlphaGo program by DeepMind . This is anindependent effort by...

Topics: GitHub, code, software, git

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Sep 7, 2017
09/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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Jul 9, 2017
07/17

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. Nodes in the graph represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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Sep 9, 2017
09/17

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tensorflow

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A library of RL tools TensorFlow Agents This project provides optimized infrastructure for reinforcement learning. Itextends the OpenAI gym interface to multiple parallel environmentsand allows agents to be implemented in TensorFlow and perform batchedcomputation. As a starting point, we provide BatchPPO, an optimizedimplementation of Proximal Policy Optimization . Please cite the white paper if you use code from this projectin your research: bibtex@misc{hafner2017agents, title={TensorFlow...

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Apr 15, 2018
04/18

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Computation using data flow graphs for scalable machine learning | Documentation | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that...

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Apr 1, 2018
04/18

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tensorflow

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A WebGL accelerated, browser based JavaScript library for training and deploying ML models. TensorFlow.js TensorFlow.js is an open-source hardware-accelerated JavaScript library fortraining and deploying machine learning models. Develop ML in the Browser Use flexible and intuitive APIs to build models from scratch using the low-levelJavaScript linear algebra library or the high-level layers API. Run Existing models Use TensorFlow.js model converters to run pre-existing TensorFlow models rightin...

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29
29

Feb 26, 2019
02/19

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tensorflow

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Download the bundle tensorflow-lingvo_-_2019-02-26_02-33-30.bundle and run: git clone tensorflow-lingvo_-_2019-02-26_02-33-30.bundle -b master Lingvo Lingvo What is it? Lingvo is a framework for building neural networks in Tensorflow, particularlysequence models. A list of publications using Lingvo can be found here . Quick start Docker The easiest way to get started is to use the provided Docker script . If instead you want to install itdirectly on your machine, skip to the section below....

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Mar 7, 2018
03/18

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tensorflow

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A collection of infrastructure and tools for research in neural network interpretability. Lucid Lucid is a collection of infrastructure and tools for research in neuralnetwork interpretability. In particular, it provides state of the art implementations of featurevisualization techniques ,and flexible abstractions that make it very easy to explore new researchdirections. Notebooks Tutorial Notebooks Building Blocks Notebooks corresponding to the Building Blocks of Interpretability article...

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Jan 5, 2018
01/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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22

Nov 29, 2018
11/18

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tensorflow

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Download the bundle tensorflow-tensorflow_-_2018-11-29_23-04-55.bundle and run: git clone tensorflow-tensorflow_-_2018-11-29_23-04-55.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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Dec 9, 2017
12/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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Dec 13, 2018
12/18

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tensorflow

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Download the bundle tensorflow-tensorflow_-_2018-12-13_01-19-47.bundle and run: git clone tensorflow-tensorflow_-_2018-12-13_01-19-47.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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Dec 1, 2018
12/18

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tensorflow

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Download the bundle tensorflow-tensorflow_-_2018-12-01_04-35-42.bundle and run: git clone tensorflow-tensorflow_-_2018-12-01_04-35-42.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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Apr 2, 2018
04/18

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tensorflow

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A WebGL accelerated, browser based JavaScript library for training and deploying ML models. TensorFlow.js TensorFlow.js is an open-source hardware-accelerated JavaScript library fortraining and deploying machine learning models. Develop ML in the Browser Use flexible and intuitive APIs to build models from scratch using the low-levelJavaScript linear algebra library or the high-level layers API. Run Existing models Use TensorFlow.js model converters to run pre-existing TensorFlow models rightin...

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20

Oct 6, 2018
10/18

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tensorflow

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A collection of infrastructure and tools for research in neural network interpretability. Lucid Lucid is a collection of infrastructure and tools for research in neuralnetwork interpretability. ðŸ““â€€ Notebooks -- Get started without any setup! ðŸ“šâ€€ Reading -- Learn more about visualizing neural nets. ðŸ’¬â€€ Community -- Want to get involved? Please reach out! ðŸ”§â€€ Additional Information -- Licensing, code style, etc. Notebooks Start visualizing neural networks with no setup . The...

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Oct 7, 2017
10/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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Apr 15, 2018
04/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Documentation | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that...

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Apr 1, 2018
04/18

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Model analysis tools for TensorFlow TensorFlow Model Analysis TensorFlow Model Analysis (TFMA) is a library for evaluating TensorFlowmodels. It allows users to evaluate their models on large amounts of data in adistributed fashion, using the same metrics defined in their trainer. Thesemetrics can also be computed over different slices of data, and the results canbe visualised in Jupyter Notebooks. TFMA may introduce backwards incompatible changes before version 1.0 . Installation and...

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17

May 20, 2018
05/18

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easy-tensorflow

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Simple and comprehensive tutorials in TensorFlow To restore the repository download the bundle wget https://archive.org/download/github.com-easy-tensorflow-easy-tensorflow_-_2018-05-19_15-31-23/easy-tensorflow-easy-tensorflow_-_2018-05-19_15-31-23.bundle and run: git clone easy-tensorflow-easy-tensorflow_-_2018-05-19_15-31-23.bundle Source: https://github.com/easy-tensorflow/easy-tensorflow Uploader: easy-tensorflow Upload date: 2018-05-19

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Jun 10, 2017
06/17

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| Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. Nodes in the graph represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture lets you deploy computation to oneor more CPUs or GPUs...

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17

Jun 14, 2018
06/18

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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....

Topics: GitHub, code, software, git

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15

Dec 8, 2017
12/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

Topics: GitHub, code, software, git

15
15

Jan 23, 2019
01/19

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Download the bundle tensorflow-tensorflow_-_2019-01-23_12-42-18.bundle and run: git clone tensorflow-tensorflow_-_2019-01-23_12-42-18.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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15

Nov 7, 2017
11/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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14

Oct 5, 2017
10/17

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tensorflow

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Efficient Batched Reinforcement Learning in TensorFlow TensorFlow Agents This project provides optimized infrastructure for reinforcement learning. Itextends the OpenAI gym interface to multiple parallel environmentsand allows agents to be implemented in TensorFlow and perform batchedcomputation. As a starting point, we provide BatchPPO, an optimizedimplementation of Proximal Policy Optimization . Please cite the TensorFlow Agents paper if you use code fromthis project in your research:...

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14

Oct 5, 2017
10/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

Topics: GitHub, code, software, git

14
14

Jun 15, 2018
06/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....

Topics: GitHub, code, software, git

13
13

May 19, 2018
05/18

by
easy-tensorflow

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Simple and comprehensive tutorials in TensorFlow To restore the repository download the bundle wget https://archive.org/download/github.com-easy-tensorflow-easy-tensorflow_-_2018-05-18_14-39-38/easy-tensorflow-easy-tensorflow_-_2018-05-18_14-39-38.bundle and run: git clone easy-tensorflow-easy-tensorflow_-_2018-05-18_14-39-38.bundle Source: https://github.com/easy-tensorflow/easy-tensorflow Uploader: easy-tensorflow Upload date: 2018-05-18

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13
13

Jan 7, 2018
01/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

Topics: GitHub, code, software, git

13
13

Mar 9, 2018
03/18

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tensorflow

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A collection of infrastructure and tools for research in neural network interpretability. Lucid Lucid is a collection of infrastructure and tools for research in neuralnetwork interpretability. In particular, it provides state of the art implementations of featurevisualization techniques ,and flexible abstractions that make it very easy to explore new researchdirections. Notebooks Tutorial Notebooks Building Blocks Notebooks corresponding to the Building Blocks of Interpretability article...

Topics: GitHub, code, software, git

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13

Feb 1, 2018
02/18

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tensorflow

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

Topics: GitHub, code, software, git

12
12

Feb 3, 2019
02/19

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tensorflow

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Download the bundle tensorflow-tensorflow_-_2019-02-03_11-42-36.bundle and run: git clone tensorflow-tensorflow_-_2019-02-03_11-42-36.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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12
12

Dec 10, 2017
12/17

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tensorflow

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

Topics: GitHub, code, software, git

12
12

Dec 6, 2017
12/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

Topics: GitHub, code, software, git

12
12

Nov 6, 2017
11/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

Topics: GitHub, code, software, git

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12

Feb 4, 2018
02/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

Topics: GitHub, code, software, git

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12

Apr 1, 2018
04/18

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tensorflow

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Examples built with TensorFlow.js TensorFlow.js Examples This repository contains a set of examples implemented in TensorFlow.js . Each example directory is completely standalone so you can copy the directoryto another project. How to build an example To build an example, first cd into the directory and run yarn to installthe dependencies of the example, and yarn watch to build it, for example: shcd mnist-coreyarnyarn watch Details The convention is that each example contains two scripts: yarn...

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11

Jun 15, 2018
06/18

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tensorflow

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

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10
10.0

May 15, 2018
05/18

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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....

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10
10.0

Dec 10, 2018
12/18

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Download the bundle tensorflow-tensorflow_-_2018-12-10_18-57-32.bundle and run: git clone tensorflow-tensorflow_-_2018-12-10_18-57-32.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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10
10.0

Feb 6, 2018
02/18

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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10
10.0

May 18, 2018
05/18

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easy-tensorflow

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Simple and comprehensive tutorials in TensorFlow To restore the repository download the bundle wget https://archive.org/download/github.com-easy-tensorflow-easy-tensorflow_-_2018-05-18_13-08-25/easy-tensorflow-easy-tensorflow_-_2018-05-18_13-08-25.bundle and run: git clone easy-tensorflow-easy-tensorflow_-_2018-05-18_13-08-25.bundle Source: https://github.com/easy-tensorflow/easy-tensorflow Uploader: easy-tensorflow Upload date: 2018-05-18

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9
9.0

Nov 1, 2018
11/18

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tensorflow

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Fast and flexible AutoML with learning guarantees. AdaNet AdaNet is a lightweight and scalable TensorFlow AutoML framework for training and deploying adaptive neural networks using the AdaNet algorithm [ Cortes et al. ICML 2017 ]. AdaNet combines several learned subnetworks in order to mitigate the complexity inherent in designing effective neural networks. This is not an official Google product. Getting Started To get you started: Tutorials: for understanding the AdaNet algorithm and learning...

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9
9.0

Jun 16, 2018
06/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....

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9
9.0

Jun 15, 2018
06/18

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

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8
8.0

Jun 16, 2018
06/18

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

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8
8.0

Mar 31, 2018
03/18

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Examples built with TensorFlow.js TensorFlow.js Examples This repository contains a set of examples implemented in TensorFlow.js . Each example directory is completely standalone so you can copy the directoryto another project. How to build an example To build an example, first cd into the directory and run yarn to installthe dependencies of the example, and yarn watch to build it, for example: shcd mnist-coreyarnyarn watch Details The convention is that each example contains two scripts: yarn...

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8
8.0

Apr 2, 2018
04/18

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Examples built with TensorFlow.js TensorFlow.js Examples This repository contains a set of examples implemented in TensorFlow.js . Each example directory is completely standalone so you can copy the directoryto another project. How to build an example To build an example, first cd into the directory and run yarn to installthe dependencies of the example, and yarn watch to build it, for example: shcd mnist-coreyarnyarn watch Details The convention is that each example contains two scripts: yarn...

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8
8.0

Mar 30, 2018
03/18

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A WebGL accelerated, browser based JavaScript library for training and deploying ML models. TensorFlow.js TensorFlow.js is an open-source hardware-accelerated JavaScript library fortraining and deploying machine learning models. Develop ML in the Browser Use flexible and intuitive APIs to build models from scratch using the low-levelJavaScript linear algebra library or the high-level layers API. Run Existing models Use TensorFlow.js model converters to run pre-existing TensorFlow models rightin...

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8
8.0

Nov 7, 2017
11/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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8
8.0

Apr 15, 2018
04/18

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

Topics: GitHub, code, software, git

8
8.0

May 16, 2018
05/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....

Topics: GitHub, code, software, git

8
8.0

Jan 6, 2018
01/18

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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8
8.0

Apr 17, 2018
04/18

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

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7
7.0

Dec 7, 2017
12/17

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

Topics: GitHub, code, software, git

7
7.0

Feb 5, 2018
02/18

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tensorflow

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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...

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7
7.0

Nov 29, 2018
11/18

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Download the bundle tensorflow-tensorflow_-_2018-11-29_11-07-41.bundle and run: git clone tensorflow-tensorflow_-_2018-11-29_11-07-41.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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7
7.0

May 16, 2018
05/18

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tensorflow

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

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6
6.0

Apr 15, 2018
04/18

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tensorflow

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6
6.0

Mar 7, 2019
03/19

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tensorflow

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Download the bundle tensorflow-tensorflow_-_2019-03-07_13-21-50.bundle and run: git clone tensorflow-tensorflow_-_2019-03-07_13-21-50.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...

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6
6.0

May 16, 2018
05/18

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tensorflow

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6
6.0

Feb 2, 2018
02/18

by
tensorflow

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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....

Topics: GitHub, code, software, git