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Package ‘keras’ March 25, 2018 Type Package Title R Interface to 'Keras' Version 2.1.5 Description Interface to 'Keras' <https://keras.io>, 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. Encoding UTF-8 License MIT + file LICENSE URL https://keras.rstudio.com BugReports https://github.com/rstudio/keras/issues Depends R (>= 3.2) Imports reticulate (>= 1.5), tensorflow (>= 1.5), tfruns (>= 1.0), magrittr, zeallot, methods, R6 Suggests ggplot2, testthat, knitr, rmarkdown SystemRequirements Keras >= 2.0 (https://keras.io) RoxygenNote 6.0.1 VignetteBuilder knitr NeedsCompilation no Author JJ Allaire [aut, cre], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Daniel Falbel [ctb, cph], Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph] Maintainer JJ Allaire <[email protected]> Repository CRAN Date/Publication 2018-03-25 15:25:14 UTC 1 2 R topics documented: R topics documented: keras-package . .9 activation_relu . 10 application_densenet . 11 application_inception_resnet_v2 . 12 application_inception_v3 . 13 application_mobilenet . 14 application_nasnet . 16 application_resnet50 . 17 application_vgg . 19 application_xception . 20 backend . 21 bidirectional . 22 callback_csv_logger . 23 callback_early_stopping . 23 callback_lambda . 24 callback_learning_rate_scheduler . 25 callback_model_checkpoint . 25 callback_progbar_logger . 26 callback_reduce_lr_on_plateau . 27 callback_remote_monitor . 28 callback_tensorboard . 28 callback_terminate_on_naan . 29 clone_model . 30 compile . 30 constraints . 31 count_params . 33 create_layer . 33 dataset_boston_housing . 34 dataset_cifar10 . 35 dataset_cifar100 . 35 dataset_fashion_mnist . 36 dataset_imdb . 37 dataset_mnist . 38 dataset_reuters . 38 evaluate.keras.engine.training.Model . 39 evaluate_generator . 41 export_savedmodel.keras.engine.training.Model . 41 fit .............................................. 42 fit_generator . 44 fit_image_data_generator . 46 fit_text_tokenizer . 46 flow_images_from_data . 47 flow_images_from_directory . 48 freeze_weights . 49 generator_next . 51 get_config . 51 R topics documented: 3 get_file . 52 get_input_at . 53 get_layer . 54 get_weights . 54 hdf5_matrix . 55 imagenet_decode_predictions . 56 imagenet_preprocess_input . 56 image_data_generator . 57 image_load . 58 image_to_array . 59 implementation . 60 initializer_constant . 60 initializer_glorot_normal . 61 initializer_glorot_uniform . 61 initializer_he_normal . 62 initializer_he_uniform . 63 initializer_identity . 63 initializer_lecun_normal . 64 initializer_lecun_uniform . 65 initializer_ones . 65 initializer_orthogonal . 66 initializer_random_normal . 66 initializer_random_uniform . 67 initializer_truncated_normal . 67 initializer_variance_scaling . 68 initializer_zeros . 69 install_keras . 69 is_keras_available . 71 KerasCallback . 72 KerasConstraint . 73 KerasLayer . 74 keras_array . 75 keras_model . 75 keras_model_sequential . 76 k_abs . 77 k_all . 78 k_any ............................................ 79 k_arange . 79 k_argmax . 80 k_argmin . 81 k_backend . 81 k_batch_dot . 82 k_batch_flatten . 83 k_batch_get_value . ..

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