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kerasR
View on CRAN: Click
here
Download and install kerasR package within the R console
Install from CRAN:
install.packages("kerasR")
Install from Github:
library("remotes")
install_github("cran/kerasR") Install by package version:
library("remotes")
install_version("kerasR", "0.8.1") Attach the package and use:
library("kerasR")
Maintained by
Taylor Arnold
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-20
Latest Update:
Description:
Provides a consistent interface to the Keras Deep Learning Librarydirectly from within R. Keras provides specifications for describing denseneural networks convolution neural networks CNN and recurrent neural networksRNN running on top of either TensorFlow or Theano. Type conversions betweenPython and R are automatically handled correctly even when the defaultchoices would otherwise lead to errors. Includes complete R documentationand many working examples.
How to cite:
Taylor Arnold (2017). kerasR: R Interface to the Keras Deep Learning Library. R package version 0.8.1, https://cran.r-project.org/web/packages/kerasR. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that kerasR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the kerasR R package
Some associated functions: Activation . ActivityRegularization . AdvancedActivation . Applications . AveragePooling . BatchNormalization . CSVLogger . Constraints . Conv . Cropping . Datasets . Dense . Dropout . EarlyStopping . Embedding . Flatten . GaussianNoise . GlobalPooling . Initalizers . LayerWrapper . LoadSave . LocallyConnected . Masking . MaxPooling . ModelCheckpoint . Optimizers . Permute . Predict . RNN . ReduceLROnPlateau . Regularizers . RepeatVector . Reshape . Sequential . TensorBoard . Tokenizer . UpSampling . ZeroPadding . decode_predictions . expand_dims . img_to_array . kerasR . keras_available . keras_check . keras_compile . keras_fit . keras_init . load_img . normalize . one_hot . pad_sequences . plot_model . preprocess_input . text_to_word_sequence . to_categorical .
Some associated R codes: applications.R . callbacks.R . constraints.R . datasets.R . initalizers.R . kerasR-package.R . keras_init.R . layers.advanced_activations.R . layers.convolutional.R . layers.core.R . layers.embeddings.R . layers.local.R . layers.noise.R . layers.normalization.R . layers.pooling.R . layers.recurrent.R . layers.wrappers.R . models.R . onLoad.R . optimizers.R . preprocessing.R . regularizers.R . utils.R . zzz.R . Full kerasR package functions and examples
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