Установка R — KERAS

install.packages("devtools")
require(devtools)
install.packages("keras")
library(keras)

install_keras(
  method = c("auto", "virtualenv", "conda"),
  conda = "auto",
  version = "default",
  tensorflow = "default",
  extra_packages = c("tensorflow-hub")
)
install.packages("tensorflow")
library(tensorflow)
install_tensorflow(version = "nightly")

conda update conda
conda update --all
conda install numpy
conda install scipy
conda install matplotlib

conda update anaconda-navigator

conda create -n tf tensorflow
conda activate tf

conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu

Error: Python module tensorflow.keras was not found.

library(tensorflow)
sess= tf$Session()
install_tensorflow()

tensorflow::install_tensorflow(version = "nightly")
tensorflow::tf_config()

keras::install_keras(method = c("auto", "virtualenv", "conda"),
  conda = "auto",
  version = "default",
  tensorflow = "default",
  extra_packages = c("tensorflow-hub")
  
  devtools::install_github("rstudio/tensorflow")
library(tensorflow)
install_tensorflow(envname = "tf")

install.packages("tensorflow")
library(tensorflow)
install_tensorflow()

ERROR: tensorflow 2.2.0 has requirement scipy==1.4.1; python_version >= "3", but you'll have scipy 1.5.1 which is incompatible.

library(keras)
install_keras(method = "conda")
install_keras(tensorflow = "default")

tensorflow::install_tensorflow(version = "nightly")
tensorflow::install_tensorflow(version = "nightly-gpu")

install.packages(«devtools»)

require(devtools)

install_keras(

  method = c(«auto», «virtualenv»,  «conda»),

  conda = «auto»,

  version = «default»,

envname = NULL,

  tensorflow = «default»,

  extra_packages = c(«tensorflow-hub»),

conda_python_version = «3.7»,

)

install_tensorflow( method = c(«auto», «virtualenv», «conda»), conda = «auto», version = «default», envname = NULL, extra_packages = NULL, restart_session = TRUE, conda_python_version = «3.6», … )

install.packages(«r-reticulate»)

library(r-reticulate)

install.packages(«keras»)

library(keras) install_keras(method = «conda»)install_keras(tensorflow = «default»)

pip install scipy==1.4.1

pip install tensorflow==2.2.0

reticulate::py_install(envname = «r-tensorflow», packages = «numpy»)

library(keras) install_keras(method = c(«conda»),               conda = «auto», version = «default», tensorflow = «cpu»)

install.packages(«remotes»)

remotes::install_github(«rstudio/tensorflow»)

library(tensorflow)

install_tensorflow(version = «2.2.0», method = «conda», envname = «r-reticulate»)

library(keras)

# install a specific version of TensorFlowinstall_keras(tensorflow = «1.2.1») install_keras(tensorflow = «1.2.1-gpu»)

install.packages(«tensorflow»)

library(tensorflow)

tensorflow::install_tensorflow(version = «nightly»)

conda update conda

conda update —all

conda update anaconda-navigator

library(tensorflow)

sess= tf$Session()

install_tensorflow()

tensorflow::install_tensorflow(version = «nightly»)

tensorflow::tf_config()

keras::install_keras(method = c(«auto», «virtualenv», «conda»),

  conda = «auto»,

  version = «default»,

  tensorflow = «default»,

  extra_packages = c(«tensorflow-hub»)

  devtools::install_github(«rstudio/tensorflow»)

library(tensorflow)

install_tensorflow(envname = «tf»)

install_github(«rstudio/reticulate»)

devtools::install_github(«rstudio/tensorflow»)

devtools::install_github(«rstudio/keras»)

tensorflow::install_tensorflow()

tensorflow::tf_config()

reticulate::py_discover_config() 

reticulate::use_condaenv(«r-tensorflow») 

reticulate::py_config()

Good way

1. Download and install Anaconda or the smaller Miniconda.
2. On Windows open the Start menu and open an Anaconda Command Prompt. On macOS or Linux open a terminal window. Use the default bash shell on macOS or Linux.
3. Choose a name for your TensorFlow environment, such as “tf”.
4. To install the current release of CPU-only TensorFlow, recommended for beginners: