Files in keras

R Interface to 'Keras'

MD5

NEWS.md

NAMESPACE

DESCRIPTION

LICENSE

R/layers-pooling.R R/layers-locally-connected.R R/model-legacy.R R/preprocessing.R R/datasets.R R/learning_rate_schedules.R R/layers-features.R R/metrics-callback.R R/metrics.R R/constraints.R R/activations.R R/py-classes.R R/layers-merge.R R/freeze.R R/model.R R/regularizers.R R/layers-convolutional.R R/layers-recurrent-cells.R R/reexports.R R/install.R R/layers-noise.R R/history.R R/layer-wrappers.R R/optimizers.R R/layers-preprocessing.R R/callbacks.R R/layers-embedding.R R/backend.R R/layers-core.R R/layer-methods.R R/applications.R R/package.R R/new-py-types.R R/layers-activations.R R/initializers.R R/layers-normalization.R R/Layer.R R/zzz.R R/layers-recurrent.R R/layer-custom.R R/seed.R R/timeseries.R R/model-persistence.R R/layers-dropout.R R/model-custom.R R/losses.R R/wrapper_custom.R R/utils.R R/layer-attention.R

inst/doc/custom_models.html

inst/doc/training_callbacks.html

inst/doc/custom_layers.html

inst/doc/custom_layers.R inst/doc/saving_serializing.Rmd inst/doc/saving_serializing.R inst/doc/sequential_model.Rmd inst/doc/custom_models.Rmd

inst/doc/functional_api.html

inst/doc/faq.html

inst/doc/functional_api.Rmd inst/doc/training_visualization.Rmd inst/doc/guide_keras.Rmd inst/doc/index.R

inst/doc/saving_serializing.html

inst/doc/faq.Rmd inst/doc/training_callbacks.R inst/doc/functional_api.R inst/doc/applications.R inst/doc/faq.R inst/doc/index.Rmd

inst/doc/applications.html

inst/doc/sequential_model.R

inst/doc/sequential_model.html

inst/doc/guide_keras.html

inst/doc/training_visualization.R inst/doc/guide_keras.R inst/doc/custom_models.R inst/doc/applications.Rmd inst/doc/custom_layers.Rmd inst/doc/training_callbacks.Rmd

inst/doc/training_visualization.html

inst/doc/index.html

inst/python/kerastools/generator.py

inst/python/kerastools/callback.py

inst/python/kerastools/wrapper.py

inst/python/kerastools/get_vocabulary.py

inst/python/kerastools/__init__.py

inst/python/kerastools/progbar.py

inst/python/kerastools/constraint.py

inst/python/kerastools/utils.py

inst/python/kerastools/layer.py

inst/python/kerastools/model.py

build/vignette.rds

tests/testthat.R tests/testthat/test-tfdatasets.R tests/testthat/test-backend.R tests/testthat/test-timeseries.R tests/testthat/helper-utils.R tests/testthat/test-initializers.R tests/testthat/test-py-class.R tests/testthat/test-model-persistence.R tests/testthat/train.R tests/testthat/test-optimizers.R tests/testthat/test-custom-layers.R tests/testthat/test-metrics.R tests/testthat/test-utils.R tests/testthat/test-regularizers.R tests/testthat/test-layer-methods.R tests/testthat/test-layers.R tests/testthat/test-losses.R tests/testthat/test-history.R

tests/testthat/test.h5

tests/testthat/test-applications.R

tests/testthat/digit.jpeg

tests/testthat/helper-skips.R tests/testthat/test-datasets.R tests/testthat/test-constraints.R tests/testthat/test-Layer.R tests/testthat/test-callbacks.R tests/testthat/test-keras-tensor-generics.R tests/testthat/test-model.R tests/testthat/test-custom-models.R tests/testthat/test-rnn-api.R tests/testthat/test-activations.R tests/testthat/test-freeze.R tests/testthat/test-layers-normalization.R tests/testthat/test-layers-preprocessing.R tests/testthat/setup.R tests/testthat/test-generators.R tests/testthat/test-preprocessing.R tests/testthat/test-layer-text_vectorization.R tests/testthat/test-examples.R tests/testthat/test-custom_wrappers.R tests/testthat/test-layer-attention.R vignettes/saving_serializing.Rmd vignettes/sequential_model.Rmd vignettes/custom_models.Rmd vignettes/functional_api.Rmd vignettes/training_visualization.Rmd vignettes/guide_keras.Rmd vignettes/faq.Rmd vignettes/index.Rmd vignettes/applications.Rmd vignettes/custom_layers.Rmd vignettes/training_callbacks.Rmd

vignettes/images/aws-logo.png

vignettes/images/multi-input-multi-output-graph.png

vignettes/images/fashion_mnist_heatmap.png

vignettes/images/tensorboard.png

vignettes/images/boston_mae_earlystop.png

vignettes/images/microsoft-logo.png

vignettes/images/google-logo.png

vignettes/images/training_history_ggplot2.png

vignettes/images/imdb_losscurve.png

vignettes/images/arxiv-mentions.png

vignettes/images/favicon.ico

vignettes/images/tensorboard_compare.png

vignettes/images/fashion_mnist_predictions.png

vignettes/images/fashion_mnist.png

vignettes/images/multi-hot.png

vignettes/images/losscurves_l2.png

vignettes/images/boston_mae.png

vignettes/images/nvidia-logo.png

vignettes/images/fashion_mnist_classes.png

vignettes/images/losscurves_dropout.png

vignettes/images/baseline_model.png

vignettes/images/regular_stacked_lstm.png

vignettes/images/losscurves_overfitting.png

vignettes/images/MNIST.png

tools/make-layer-wrapper.R tools/find-missing-layers.R tools/make-application-wrapper.R tools/make-optimizer-wrapper.R tools/make-wrapper.R

tools/check1

tools/find-api-diffs.R tools/install-nightly.R

tools/check

tools/test

tools/experimental-utils.R tools/setup-test-envs.R man/k_equal.Rd man/layer_multiply.Rd man/k_rnn.Rd man/text_one_hot.Rd man/layer_attention.Rd man/layer_text_vectorization.Rd man/k_dot.Rd man/k_backend.Rd man/save_model_weights_tf.Rd man/layer_repeat_vector.Rd man/text_dataset_from_directory.Rd man/pad_sequences.Rd man/freeze_weights.Rd man/k_mean.Rd man/predict_proba.Rd man/dataset_mnist.Rd man/k_log.Rd man/metric_binary_crossentropy.Rd man/metric_mean.Rd man/layer_cropping_2d.Rd man/metric_cosine_similarity.Rd man/k_expand_dims.Rd man/save_model_tf.Rd man/text_to_word_sequence.Rd man/layer_minimum.Rd man/callback_progbar_logger.Rd man/predict_generator.Rd man/layer_simple_rnn.Rd man/normalize.Rd man/k_reshape.Rd man/k_is_sparse.Rd man/get_config.Rd man/flow_images_from_dataframe.Rd man/imagenet_preprocess_input.Rd man/save_model_weights_hdf5.Rd man/clone_model.Rd man/count_params.Rd man/layer_average_pooling_3d.Rd man/metric_mean_absolute_error.Rd man/model_to_saved_model.Rd man/k_logsumexp.Rd man/metric_recall_at_precision.Rd man/fit_generator.Rd man/layer_integer_lookup.Rd man/k_reverse.Rd man/is_keras_available.Rd man/metric_true_positives.Rd man/layer_rnn.Rd man/fit.keras.engine.training.Model.Rd man/initializer_lecun_normal.Rd man/keras_model.Rd man/k_softplus.Rd man/layer_locally_connected_1d.Rd man/layer_flatten.Rd man/layer_resizing.Rd man/k_identity.Rd man/k_ctc_decode.Rd man/metric_hinge.Rd man/layer_random_width.Rd man/save_model_hdf5.Rd man/texts_to_matrix.Rd man/learning_rate_schedule_polynomial_decay.Rd man/reexports.Rd man/k_relu.Rd man/layer_spatial_dropout_3d.Rd man/dataset_cifar100.Rd man/layer_random_translation.Rd man/use_implementation.Rd man/layer_cropping_1d.Rd man/k_pool2d.Rd man/metric_cosine_proximity.Rd man/metric_sparse_categorical_crossentropy.Rd man/k_batch_dot.Rd man/k_cos.Rd man/k_l2_normalize.Rd man/k_random_uniform.Rd man/initializer_lecun_uniform.Rd man/k_sum.Rd man/layer_separable_conv_2d.Rd man/layer_rescaling.Rd man/initializer_glorot_uniform.Rd man/layer_dot.Rd man/regularizer_orthogonal.Rd man/k_var.Rd man/k_random_uniform_variable.Rd man/layer_activation_leaky_relu.Rd man/layer_global_average_pooling_3d.Rd man/layer_zero_padding_2d.Rd man/k_flatten.Rd man/metric_mean_wrapper.Rd man/summary.keras.engine.training.Model.Rd man/k_function.Rd man/metric_true_negatives.Rd man/initializer_constant.Rd man/k_stop_gradient.Rd man/initializer_random_uniform.Rd man/k_resize_volumes.Rd man/application_resnet.Rd man/keras_model_sequential.Rd man/loss-functions.Rd man/texts_to_sequences.Rd man/k_learning_phase.Rd man/k_std.Rd man/learning_rate_schedule_cosine_decay_restarts.Rd man/layer_activation_selu.Rd man/k_eye.Rd man/timeseries_generator.Rd man/k_constant.Rd man/layer_stacked_rnn_cells.Rd man/evaluate_generator.Rd man/layer_dropout.Rd man/k_gather.Rd man/metric_recall.Rd man/layer_zero_padding_3d.Rd man/k_elu.Rd man/k_random_bernoulli.Rd man/dataset_imdb.Rd man/metric_accuracy.Rd man/k_conv1d.Rd man/k_greater_equal.Rd man/k_batch_flatten.Rd man/image_dataset_from_directory.Rd man/with_custom_object_scope.Rd man/k_categorical_crossentropy.Rd man/application_efficientnet.Rd man/k_shape.Rd man/optimizer_rmsprop.Rd man/layer_global_max_pooling_1d.Rd man/layer_activation_relu.Rd man/layer_conv_lstm_2d.Rd man/metric_mean_absolute_percentage_error.Rd man/metric_kullback_leibler_divergence.Rd man/metric_mean_squared_error.Rd man/layer_lambda.Rd man/k_clear_session.Rd man/layer_gru_cell.Rd man/k_softmax.Rd man/create_wrapper.Rd man/optimizer_adamax.Rd man/k_hard_sigmoid.Rd man/layer_category_encoding.Rd man/reset_states.Rd man/optimizer_adam.Rd man/train_on_batch.Rd man/image_data_generator.Rd man/layer_unit_normalization.Rd man/layer_dense.Rd man/evaluate.keras.engine.training.Model.Rd man/k_sigmoid.Rd man/k_dropout.Rd man/layer_max_pooling_2d.Rd man/metric_mean_iou.Rd man/create_layer_wrapper.Rd man/k_ctc_batch_cost.Rd man/layer_maximum.Rd man/k_softsign.Rd man/layer_conv_2d_transpose.Rd man/layer_subtract.Rd man/metric_categorical_hinge.Rd man/k_tile.Rd man/optimizer_nadam.Rd man/layer_max_pooling_3d.Rd man/layer_discretization.Rd man/text_hashing_trick.Rd man/k_map_fn.Rd man/k_exp.Rd man/layer_permute.Rd man/k_batch_set_value.Rd man/metric_categorical_crossentropy.Rd man/layer_upsampling_1d.Rd man/layer_cudnn_gru.Rd man/dataset_reuters.Rd man/layer_cropping_3d.Rd man/loss_cosine_proximity.Rd man/k_ones_like.Rd man/KerasWrapper.Rd man/callback_model_checkpoint.Rd man/metric_binary_accuracy.Rd man/k_pow.Rd man/k_update_sub.Rd man/save_text_tokenizer.Rd man/k_squeeze.Rd man/custom_metric.Rd man/metric-or-Metric.Rd man/dataset_boston_housing.Rd man/k_sparse_categorical_crossentropy.Rd man/plot.keras_training_history.Rd man/layer_random_rotation.Rd man/k_sin.Rd man/k_permute_dimensions.Rd man/k_less.Rd man/k_is_placeholder.Rd man/k_round.Rd man/get_file.Rd man/layer_random_crop.Rd man/Metric.Rd man/k_unstack.Rd man/k_max.Rd man/k_update.Rd man/application_mobilenet.Rd man/layer_gaussian_dropout.Rd man/layer_layer_normalization.Rd man/k_in_test_phase.Rd man/text_tokenizer.Rd man/zip_lists.Rd man/callback_tensorboard.Rd man/application_densenet.Rd man/export_savedmodel.keras.engine.training.Model.Rd man/application_nasnet.Rd man/initializer_variance_scaling.Rd man/constraints.Rd man/k_random_normal.Rd man/metric_false_negatives.Rd man/metric_sparse_categorical_accuracy.Rd man/get_weights.Rd man/initializer_identity.Rd man/k_cumsum.Rd man/metric_specificity_at_sensitivity.Rd man/sequences_to_matrix.Rd man/k_placeholder.Rd man/k_local_conv2d.Rd man/callback_remote_monitor.Rd man/metric_mean_relative_error.Rd man/layer_hashing.Rd man/k_cast.Rd man/new-classes.Rd man/layer_gaussian_noise.Rd man/k_not_equal.Rd man/metric_top_k_categorical_accuracy.Rd man/keras.Rd man/initializer_truncated_normal.Rd man/metric_precision_at_recall.Rd man/metric_precision.Rd man/k_moving_average_update.Rd man/grapes-set-active-grapes.Rd man/metric_mean_tensor.Rd man/layer_additive_attention.Rd man/layer_locally_connected_2d.Rd man/k_random_normal_variable.Rd man/multi_gpu_model.Rd man/k_pool3d.Rd man/layer_spatial_dropout_2d.Rd man/initializer_zeros.Rd man/make_sampling_table.Rd man/k_gradients.Rd man/layer_random_zoom.Rd man/k_prod.Rd man/Layer.Rd man/k_update_add.Rd man/serialize_model.Rd man/k_ones.Rd man/k_square.Rd man/install_keras.Rd man/model_to_json.Rd man/KerasCallback.Rd man/k_clip.Rd man/layer_add.Rd man/layer_global_average_pooling_2d.Rd man/k_ndim.Rd man/k_conv3d.Rd man/application_vgg.Rd man/layer_cudnn_lstm.Rd man/layer_dense_features.Rd man/layer_string_lookup.Rd man/pop_layer.Rd man/k_int_shape.Rd man/callback_reduce_lr_on_plateau.Rd man/layer_upsampling_3d.Rd man/k_maximum.Rd man/k_count_params.Rd man/k_foldr.Rd man/layer_center_crop.Rd man/k_any.Rd man/initializer_orthogonal.Rd man/sequential_model_input_layer.Rd man/k_conv2d_transpose.Rd man/time_distributed.Rd man/optimizer_adadelta.Rd man/k_set_learning_phase.Rd man/k_is_keras_tensor.Rd man/metric_sum.Rd man/k_tanh.Rd man/layer_activation.Rd man/image_to_array.Rd man/callback_early_stopping.Rd man/k_reset_uids.Rd man/skipgrams.Rd man/layer_random_brightness.Rd man/callback_lambda.Rd man/texts_to_sequences_generator.Rd man/fit_text_tokenizer.Rd man/layer_activity_regularization.Rd man/bidirectional.Rd man/pipe.Rd man/k_zeros.Rd man/layer_conv_1d_transpose.Rd man/k_manual_variable_initialization.Rd man/k_normalize_batch_in_training.Rd man/get_layer.Rd man/k_batch_get_value.Rd man/application_xception.Rd man/layer_random_height.Rd man/k_local_conv1d.Rd man/k_get_session.Rd man/keras_array.Rd man/layer_normalization.Rd man/layer_activation_softmax.Rd man/k_truncated_normal.Rd man/layer_conv_lstm_3d.Rd man/k_variable.Rd man/generator_next.Rd man/application_inception_resnet_v2.Rd man/metric_poisson.Rd man/timeseries_dataset_from_array.Rd man/layer_masking.Rd man/keras_model_custom.Rd man/layer_average_pooling_1d.Rd man/optimizer_adagrad.Rd man/layer_conv_3d.Rd man/hdf5_matrix.Rd man/learning_rate_schedule_inverse_time_decay.Rd man/k_repeat_elements.Rd man/k_repeat.Rd man/metric_auc.Rd man/initializer_glorot_normal.Rd man/initializer_ones.Rd man/layer_max_pooling_1d.Rd man/layer_random_flip.Rd man/callback_terminate_on_naan.Rd man/layer_activation_parametric_relu.Rd man/layer_input.Rd man/metric_logcosh_error.Rd man/k_get_value.Rd man/backend.Rd man/k_to_dense.Rd man/k_conv2d.Rd man/k_spatial_2d_padding.Rd man/layer_depthwise_conv_2d.Rd man/flow_images_from_data.Rd man/metric_sparse_top_k_categorical_accuracy.Rd man/layer_global_max_pooling_2d.Rd man/k_minimum.Rd man/k_in_top_k.Rd man/k_floatx.Rd man/layer_alpha_dropout.Rd man/grapes-py_class-grapes.Rd man/flow_images_from_directory.Rd man/k_cast_to_floatx.Rd man/layer_conv_1d.Rd man/KerasLayer.Rd man/k_set_value.Rd man/dataset_cifar10.Rd man/k_argmax.Rd man/activation_relu.Rd man/layer_reshape.Rd man/layer_depthwise_conv_1d.Rd man/model_from_saved_model.Rd man/k_argmin.Rd man/multi-assign.Rd man/k_arange.Rd man/initializer_he_normal.Rd man/plot.keras.engine.training.Model.Rd man/learning_rate_schedule_cosine_decay.Rd man/k_resize_images.Rd man/k_conv3d_transpose.Rd man/layer_lstm_cell.Rd man/compile.keras.engine.training.Model.Rd man/k_transpose.Rd man/layer_simple_rnn_cell.Rd man/layer_global_max_pooling_3d.Rd man/application_inception_v3.Rd man/layer_average.Rd man/layer_upsampling_2d.Rd man/layer_zero_padding_1d.Rd man/metric_false_positives.Rd man/layer_activation_thresholded_relu.Rd man/model_to_yaml.Rd man/optimizer_ftrl.Rd man/dataset_fashion_mnist.Rd man/imagenet_decode_predictions.Rd man/layer_lstm.Rd man/metric_categorical_accuracy.Rd man/k_spatial_3d_padding.Rd man/layer_spatial_dropout_1d.Rd man/optimizer_sgd.Rd man/learning_rate_schedule_exponential_decay.Rd man/layer_embedding.Rd man/layer_concatenate.Rd man/layer_gru.Rd man/layer_separable_conv_1d.Rd man/adapt.Rd man/new_learning_rate_schedule_class.Rd man/k_all.Rd man/layer_conv_3d_transpose.Rd man/callback_csv_logger.Rd man/initializer_random_normal.Rd man/k_greater.Rd man/learning_rate_schedule_piecewise_constant_decay.Rd man/k_separable_conv2d.Rd man/k_less_equal.Rd man/k_binary_crossentropy.Rd man/implementation.Rd man/k_concatenate.Rd man/metric_mean_squared_logarithmic_error.Rd man/metric_root_mean_squared_error.Rd man/fit_image_data_generator.Rd man/initializer_he_uniform.Rd man/to_categorical.Rd man/k_batch_normalization.Rd man/k_epsilon.Rd man/k_cumprod.Rd man/k_sqrt.Rd man/callback_backup_and_restore.Rd man/predict.keras.engine.training.Model.Rd man/k_sign.Rd man/predict_on_batch.Rd man/application_mobilenet_v3.Rd man/layer_random_contrast.Rd man/k_zeros_like.Rd man/k_eval.Rd man/k_depthwise_conv2d.Rd man/k_get_variable_shape.Rd man/k_abs.Rd man/k_get_uid.Rd man/layer_conv_lstm_1d.Rd man/k_print_tensor.Rd man/get_input_at.Rd man/layer_multi_head_attention.Rd man/k_stack.Rd man/k_is_tensor.Rd man/layer_batch_normalization.Rd man/image_load.Rd man/k_temporal_padding.Rd man/regularizer_l1.Rd man/k_bias_add.Rd man/k_foldl.Rd man/k_min.Rd man/k_dtype.Rd man/layer_conv_2d.Rd man/metric_sensitivity_at_specificity.Rd man/keras-package.Rd man/metric_squared_hinge.Rd man/layer_activation_elu.Rd man/callback_learning_rate_scheduler.Rd man/k_switch.Rd man/create_layer.Rd man/k_ctc_label_dense_to_sparse.Rd man/application_mobilenet_v2.Rd man/k_one_hot.Rd man/k_image_data_format.Rd man/KerasConstraint.Rd man/layer_average_pooling_2d.Rd man/layer_global_average_pooling_1d.Rd man/k_in_train_phase.Rd

keras documentation built on Aug. 16, 2023, 1:07 a.m.