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tensorflow
View on CRAN: Click
here
Download and install tensorflow package within the R console
Install from CRAN:
install.packages("tensorflow")
Install from Github:
library("remotes")
install_github("cran/tensorflow")
Install by package version:
library("remotes")
install_version("tensorflow", "2.16.0")
Attach the package and use:
library("tensorflow")
Maintained by
Tomasz Kalinowski
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
https://www.tensorflow.org/ . 10.32614/CRAN.package.tensorflow . https://github.com/rstudio/tensorflow/issues . https://github.com/rstudio/tensorflow . tensorflow results . tensorflow.pdf . tensorflow_2.16.0.tar.gz . tensorflow_2.16.0.zip . tensorflow_2.16.0.zip . tensorflow_2.16.0.zip . tensorflow_2.16.0.tgz . tensorflow_2.16.0.tgz . tensorflow_2.16.0.tgz . tensorflow_2.16.0.tgz . tensorflow_2.16.0.tgz . tensorflow_2.16.0.tgz . tensorflow archive . https://CRAN.R-project.org/package=tensorflow .
First Published: 2017-03-22
Latest Update: 2024-01-31
Description:
Interface to 'TensorFlow' <https://www.tensorflow.org/>, 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. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
How to cite:
Tomasz Kalinowski (2017). tensorflow: R Interface to 'TensorFlow'. R package version 2.16.0, https://cran.r-project.org/web/packages/tensorflow. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.7 (2017-03-22 15:19), 0.8.1 (2017-05-26 02:35), 0.9 (2017-06-25 21:55), 1.3.1 (2017-08-26 19:25), 1.3 (2017-07-27 23:42), 1.4.1 (2017-11-16 22:57), 1.4.2 (2017-12-17 07:52), 1.4.3 (2017-12-18 17:34), 1.4 (2017-09-27 14:23), 1.5 (2018-01-17 16:02), 1.8 (2018-06-14 15:41), 1.9 (2018-08-07 16:10), 1.10 (2018-11-19 19:50), 1.13.1 (2019-04-05 14:50), 1.14.0 (2019-08-01 15:30), 2.0.0 (2019-10-02 19:50), 2.2.0 (2020-05-11 20:20), 2.4.0 (2021-03-23 22:40), 2.5.0 (2021-06-10 17:30), 2.6.0 (2021-08-19 20:50), 2.7.0 (2021-11-09 17:20), 2.8.0 (2022-02-09 22:00), 2.9.0 (2022-05-21 09:20), 2.11.0 (2022-12-19 16:00), 2.13.0 (2023-08-15 18:30), 2.14.0 (2023-09-28 17:50), 2.15.0 (2024-01-31 20:50)
Other packages that cited tensorflow R package
View tensorflow citation profile
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Complete documentation for tensorflow
Functions, R codes and Examples using
the tensorflow R package
Some associated functions: all_dims . as_tensor . evaluate . export_savedmodel . install_tensorflow . parse_arguments . parse_flags . reexports . set_random_seed . shape . sub-.tensorflow.tensor . tensorboard . tensorflow . tf . tf_config . tf_extract_opts . tf_function . tf_gpu_configured . tf_probability . train . train_and_evaluate . use_compat . use_session_with_seed . view_savedmodel .
Some associated R codes: arguments.R . compat.R . deprecated.R . eager.R . estimator-generics.R . extract.R . flags.R . generics.R . help.R . install.R . modules.R . package.R . probability.R . reexports.R . save.R . seed.R . shape.R . tensorboard.R . utils.R . Full tensorflow package functions and examples
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