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keras  

R Interface to 'Keras'
View on CRAN: Click here


Download and install keras package within the R console
Install from CRAN:
install.packages("keras")

Install from Github:
library("remotes")
install_github("cran/keras")

Install by package version:
library("remotes")
install_version("keras", "2.15.0")



Attach the package and use:
library("keras")
Maintained by
Tomasz Kalinowski
[Scholar Profile | Author Map]
First Published: 2017-07-30
Latest Update: 2023-08-15
Description:
Interface to 'Keras' , a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
How to cite:
Tomasz Kalinowski (2017). keras: R Interface to 'Keras'. R package version 2.15.0, https://cran.r-project.org/web/packages/keras. Accessed 06 Apr. 2025.
Previous versions and publish date:
2.0.5 (2017-07-30 07:16), 2.0.6 (2017-08-30 13:46), 2.0.8 (2017-09-30 12:39), 2.0.9 (2017-11-17 05:11), 2.1.2 (2017-12-17 13:31), 2.1.3 (2018-01-17 19:09), 2.1.4 (2018-02-24 22:32), 2.1.5 (2018-03-25 17:25), 2.1.6 (2018-04-29 22:08), 2.2.0 (2018-08-24 13:32), 2.2.4.1 (2019-04-05 23:30), 2.2.4 (2018-11-22 15:00), 2.2.5.0 (2019-10-08 20:10), 2.3.0.0 (2020-05-19 22:30), 2.4.0 (2021-03-29 20:30), 2.6.0 (2021-08-21 06:50), 2.6.1 (2021-09-30 21:20), 2.7.0 (2021-11-09 20:30), 2.8.0 (2022-02-10 01:00), 2.9.0 (2022-05-23 17:30), 2.11.0 (2022-12-20 16:40), 2.11.1 (2023-03-20 17:10), 2.13.0 (2023-08-15 23:10)
Other packages that cited keras R package
View keras citation profile
Other R packages that keras depends, imports, suggests or enhances
Complete documentation for keras
Functions, R codes and Examples using the keras R package
Some associated functions: KerasCallback . KerasConstraint . KerasLayer . KerasWrapper . Layer . Metric . activation_relu . adapt . application_densenet . application_efficientnet . application_inception_resnet_v2 . application_inception_v3 . application_mobilenet . application_mobilenet_v2 . application_mobilenet_v3 . application_nasnet . application_resnet . application_vgg . application_xception . backend . bidirectional . callback_backup_and_restore . callback_csv_logger . callback_early_stopping . callback_lambda . callback_learning_rate_scheduler . callback_model_checkpoint . callback_progbar_logger . callback_reduce_lr_on_plateau . callback_remote_monitor . callback_tensorboard . callback_terminate_on_naan . clone_model . compile.keras.engine.training.Model . constraints . count_params . create_layer . create_layer_wrapper . create_wrapper . custom_metric . dataset_boston_housing . dataset_cifar10 . dataset_cifar100 . dataset_fashion_mnist . dataset_imdb . dataset_mnist . dataset_reuters . evaluate.keras.engine.training.Model . evaluate_generator . export_savedmodel.keras.engine.training.Model . fit.keras.engine.training.Model . fit_generator . fit_image_data_generator . fit_text_tokenizer . flow_images_from_data . flow_images_from_dataframe . flow_images_from_directory . freeze_weights . generator_next . get_config . get_file . get_input_at . get_layer . get_weights . grapes-py_class-grapes . grapes-set-active-grapes . hdf5_matrix . image_data_generator . image_dataset_from_directory . image_load . image_to_array . imagenet_decode_predictions . imagenet_preprocess_input . implementation . initializer_constant . initializer_glorot_normal . initializer_glorot_uniform . initializer_he_normal . initializer_he_uniform . initializer_identity . initializer_lecun_normal . initializer_lecun_uniform . initializer_ones . initializer_orthogonal . initializer_random_normal . initializer_random_uniform . initializer_truncated_normal . initializer_variance_scaling . initializer_zeros . install_keras . is_keras_available . k_abs . k_all . k_any . k_arange . k_argmax . k_argmin . k_backend . k_batch_dot . k_batch_flatten . k_batch_get_value . k_batch_normalization . k_batch_set_value . k_bias_add . k_binary_crossentropy . k_cast . k_cast_to_floatx . k_categorical_crossentropy . k_clear_session . k_clip . k_concatenate . k_constant . k_conv1d . k_conv2d . k_conv2d_transpose . k_conv3d . k_conv3d_transpose . k_cos . k_count_params . k_ctc_batch_cost . k_ctc_decode . k_ctc_label_dense_to_sparse . k_cumprod . k_cumsum . k_depthwise_conv2d . k_dot . k_dropout . k_dtype . k_elu . k_epsilon . k_equal . k_eval . k_exp . k_expand_dims . k_eye . k_flatten . k_floatx . k_foldl . k_foldr . k_function . k_gather . k_get_session . k_get_uid . k_get_value . k_get_variable_shape . k_gradients . k_greater . k_greater_equal . k_hard_sigmoid . k_identity . k_image_data_format . k_in_test_phase . k_in_top_k . k_in_train_phase . k_int_shape . k_is_keras_tensor . k_is_placeholder . k_is_sparse . k_is_tensor . k_l2_normalize . k_learning_phase . k_less . k_less_equal . k_local_conv1d . k_local_conv2d . k_log . k_logsumexp . k_manual_variable_initialization . k_map_fn . k_max . k_maximum . k_mean . k_min . k_minimum . k_moving_average_update . k_ndim . k_normalize_batch_in_training . k_not_equal . k_one_hot . k_ones . k_ones_like . k_permute_dimensions . k_placeholder . k_pool2d . k_pool3d . k_pow . k_print_tensor . k_prod . k_random_bernoulli . k_random_normal . k_random_normal_variable . k_random_uniform . k_random_uniform_variable . k_relu . k_repeat . k_repeat_elements . k_reset_uids . k_reshape . k_resize_images . k_resize_volumes . k_reverse . k_rnn . k_round . k_separable_conv2d . k_set_learning_phase . k_set_value . k_shape . k_sigmoid . k_sign . k_sin . k_softmax . k_softplus . k_softsign . k_sparse_categorical_crossentropy . k_spatial_2d_padding . k_spatial_3d_padding . k_sqrt . k_square . k_squeeze . k_stack . k_std . k_stop_gradient . k_sum . k_switch . k_tanh . k_temporal_padding . k_tile . k_to_dense . k_transpose . k_truncated_normal . k_unstack . k_update . k_update_add . k_update_sub . k_var . k_variable . k_zeros . k_zeros_like . keras-package . keras . keras_array . keras_model . keras_model_custom . keras_model_sequential . layer_activation . layer_activation_elu . layer_activation_leaky_relu . layer_activation_parametric_relu . layer_activation_relu . layer_activation_selu . layer_activation_softmax . layer_activation_thresholded_relu . layer_activity_regularization . layer_add . layer_additive_attention . layer_alpha_dropout . layer_attention . layer_average . layer_average_pooling_1d . layer_average_pooling_2d . layer_average_pooling_3d . layer_batch_normalization . layer_category_encoding . layer_center_crop . layer_concatenate . layer_conv_1d . layer_conv_1d_transpose . layer_conv_2d . layer_conv_2d_transpose . layer_conv_3d . layer_conv_3d_transpose . layer_conv_lstm_1d . layer_conv_lstm_2d . layer_conv_lstm_3d . layer_cropping_1d . layer_cropping_2d . layer_cropping_3d . layer_cudnn_gru . layer_cudnn_lstm . layer_dense . layer_dense_features . layer_depthwise_conv_1d . layer_depthwise_conv_2d . layer_discretization . layer_dot . layer_dropout . layer_embedding . layer_flatten . layer_gaussian_dropout . layer_gaussian_noise . layer_global_average_pooling_1d . layer_global_average_pooling_2d . layer_global_average_pooling_3d . layer_global_max_pooling_1d . layer_global_max_pooling_2d . layer_global_max_pooling_3d . layer_gru . layer_gru_cell . layer_hashing . layer_input . layer_integer_lookup . layer_lambda . layer_layer_normalization . layer_locally_connected_1d . layer_locally_connected_2d . layer_lstm . layer_lstm_cell . layer_masking . layer_max_pooling_1d . layer_max_pooling_2d . layer_max_pooling_3d . layer_maximum . layer_minimum . layer_multi_head_attention . layer_multiply . layer_normalization . layer_permute . layer_random_brightness . layer_random_contrast . layer_random_crop . layer_random_flip . layer_random_height . layer_random_rotation . layer_random_translation . layer_random_width . layer_random_zoom . layer_repeat_vector . layer_rescaling . layer_reshape . layer_resizing . layer_rnn . layer_separable_conv_1d . layer_separable_conv_2d . layer_simple_rnn . layer_simple_rnn_cell . layer_spatial_dropout_1d . layer_spatial_dropout_2d . layer_spatial_dropout_3d . layer_stacked_rnn_cells . layer_string_lookup . layer_subtract . layer_text_vectorization . layer_unit_normalization . layer_upsampling_1d . layer_upsampling_2d . layer_upsampling_3d . layer_zero_padding_1d . layer_zero_padding_2d . layer_zero_padding_3d . learning_rate_schedule_cosine_decay . learning_rate_schedule_cosine_decay_restarts . learning_rate_schedule_exponential_decay . learning_rate_schedule_inverse_time_decay . learning_rate_schedule_piecewise_constant_decay . learning_rate_schedule_polynomial_decay . loss-functions . loss_cosine_proximity . make_sampling_table . metric-or-Metric . metric_accuracy . metric_auc . metric_binary_accuracy . metric_binary_crossentropy . metric_categorical_accuracy . metric_categorical_crossentropy . metric_categorical_hinge . metric_cosine_proximity . metric_cosine_similarity . metric_false_negatives . metric_false_positives . metric_hinge . metric_kullback_leibler_divergence . metric_logcosh_error . metric_mean . metric_mean_absolute_error . metric_mean_absolute_percentage_error . metric_mean_iou . metric_mean_relative_error . metric_mean_squared_error . metric_mean_squared_logarithmic_error . metric_mean_tensor . metric_mean_wrapper . metric_poisson . metric_precision . metric_precision_at_recall . metric_recall . metric_recall_at_precision . metric_root_mean_squared_error . metric_sensitivity_at_specificity . metric_sparse_categorical_accuracy . metric_sparse_categorical_crossentropy . metric_sparse_top_k_categorical_accuracy . metric_specificity_at_sensitivity . metric_squared_hinge . metric_sum . metric_top_k_categorical_accuracy . metric_true_negatives . metric_true_positives . model_from_saved_model . model_to_json . model_to_saved_model . model_to_yaml . multi-assign . multi_gpu_model . new-classes . new_learning_rate_schedule_class . normalize . optimizer_adadelta . optimizer_adagrad . optimizer_adam . optimizer_adamax . optimizer_ftrl . optimizer_nadam . optimizer_rmsprop . optimizer_sgd . pad_sequences . pipe . plot.keras.engine.training.Model . plot.keras_training_history . pop_layer . predict.keras.engine.training.Model . predict_generator . predict_on_batch . predict_proba . reexports . regularizer_l1 . regularizer_orthogonal . reset_states . save_model_hdf5 . save_model_tf . save_model_weights_hdf5 . save_model_weights_tf . save_text_tokenizer . sequences_to_matrix . sequential_model_input_layer . serialize_model . skipgrams . summary.keras.engine.training.Model . text_dataset_from_directory . text_hashing_trick . text_one_hot . text_to_word_sequence . text_tokenizer . texts_to_matrix . texts_to_sequences . texts_to_sequences_generator . time_distributed . timeseries_dataset_from_array . timeseries_generator . to_categorical . train_on_batch . use_implementation . with_custom_object_scope . zip_lists . 
Some associated R codes: Layer.R . activations.R . applications.R . backend.R . callbacks.R . constraints.R . datasets.R . freeze.R . history.R . initializers.R . install.R . layer-attention.R . layer-custom.R . layer-methods.R . layer-wrappers.R . layers-activations.R . layers-convolutional.R . layers-core.R . layers-dropout.R . layers-embedding.R . layers-features.R . layers-locally-connected.R . layers-merge.R . layers-noise.R . layers-normalization.R . layers-pooling.R . layers-preprocessing.R . layers-recurrent-cells.R . layers-recurrent.R . learning_rate_schedules.R . losses.R . metrics-callback.R . metrics.R . model-custom.R . model-legacy.R . model-persistence.R . model.R . new-py-types.R . optimizers.R . package.R . preprocessing.R . py-classes.R . reexports.R . regularizers.R . seed.R . timeseries.R . utils.R . wrapper_custom.R . zzz.R .  Full keras package functions and examples
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