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TensorFlow - Official Sitehttps://www.tensorflow.orgTensorFlow™ 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.InstallmacOS 10.12.6 (Sierra) or later. …Windows · Install Tensorflow on Ubuntu

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.
www.tensorflow.org

TensorFlow.jshttps://js.tensorflow.orgUse TensorFlow.js model converters to run pre-existing TensorFlow models right in the browser or under Node.js.

Use TensorFlow.js model converters to run pre-existing TensorFlow models right in the browser or under Node.js.
js.tensorflow.org

TensorFlow - YouTubehttps://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ1:55How to get your browser ready for TensorFlow

TensorFlow - YouTubehttps://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ1:55How to get your browser ready for TensorFlow
www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ

GitHub - tensorflow/tensorflow: Computation using …https://github.com/tensorflow/tensorflowTensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs or GPUs in a ...

TensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs or GPUs in a ...
github.com/tensorflow/tensorflow

TensorFlow - Wikipediahttps://en.wikipedia.org/wiki/TensorFlowLicense: Apache 2.0 open source license

TensorFlow - Wikipediahttps://en.wikipedia.org/wiki/TensorFlowLicense: Apache 2.0 open source license
en.wikipedia.org/wiki/TensorFlow

TensorFlow | TwitterTwitter › @tensorflowCheck out this article on training and serving ML models with tf.keras, a walkthrough by @sdcubber ↓ bit.l…9 hours ago · TwitterCombining neuroscience & ML, @hellohaohan explores how emotion influences decision-making. On the latest… tw…1 day ago · TwitterWe’re bringing a four day TensorFlow track to @OReillyMedia 's AI Conferences this fall: San Francisco (Sep 4 … 1 day ago · TwitterUsing the @pycharm IDE can make it easier to debug your TensorFlow projects and prepare your dat… 3 days ago · TwitterLearn how to serve an Estimator-trained embedding. @lak_gcp , Technical Lead for @GCPcloud , des… 4 days ago · Twitter

TensorFlow | TwitterTwitter › @tensorflowCheck out this article on training and serving ML models with tf.keras, a walkthrough by @sdcubber ↓ bit.l…9 hours ago · TwitterCombining neuroscience & ML, @hellohaohan explores how emotion influences decision-making. On the latest… tw…1 day ago · TwitterWe’re bringing a four day TensorFlow track to @OReillyMedia 's AI Conferences this fall: San Francisco (Sep 4 … 1 day ago · TwitterUsing the @pycharm IDE can make it easier to debug your TensorFlow projects and prepare your dat… 3 days ago · TwitterLearn how to serve an Estimator-trained embedding. @lak_gcp , Technical Lead for @GCPcloud , des… 4 days ago · Twitter
TensorFlow | TwitterTwitter

TensorFlow Tutorial For Beginners (article) - DataCamphttps://www.datacamp.com/community/tutorials/tensorflow-tutorialTensorFlow Tutorial For Beginners Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow Deep learning is a subfield of machine learning that is a set of algorithms that is inspired by the structure and function of the brain.

TensorFlow Tutorial For Beginners Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow Deep learning is a subfield of machine learning that is a set of algorithms that is inspired by the structure and function of the brain.
www.datacamp.com/community/tutorials/tensorflow-tu...

tensorflow · PyPIhttps://pypi.org/project/tensorflowTensorFlow 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.

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.
pypi.org/project/tensorflow

TensorFlow for Rhttps://tensorflow.rstudio.comTensorFlow™ 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.

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.
tensorflow.rstudio.com

Introducing TensorFlow Probability – TensorFlow – …https://medium.com/tensorflow/introducing-tensorflow-probability...At the 2018 TensorFlow Developer Summit, we announced TensorFlow Probability: a probabilistic programming toolbox for machine learning researchers and practitioners to quickly and reliably build sophisticated models that leverage state-of-the-art hardware. You should use TensorFlow Probability if ...

At the 2018 TensorFlow Developer Summit, we announced TensorFlow Probability: a probabilistic programming toolbox for machine learning researchers and practitioners to quickly and reliably build sophisticated models that leverage state-of-the-art hardware. You should use TensorFlow Probability if ...
medium.com/tensorflow/introducing-tensorflow-proba...