keras-package	keras-package
%<-%	multi-assign
%>%	pipe
activation_elu	activation_relu
activation_exponential	activation_relu
activation_hard_sigmoid	activation_relu
activation_linear	activation_relu
activation_relu	activation_relu
activation_selu	activation_relu
activation_sigmoid	activation_relu
activation_softmax	activation_relu
activation_softplus	activation_relu
activation_softsign	activation_relu
activation_tanh	activation_relu
adapt	adapt
application_densenet	application_densenet
application_densenet121	application_densenet
application_densenet169	application_densenet
application_densenet201	application_densenet
application_inception_resnet_v2	application_inception_resnet_v2
application_inception_v3	application_inception_v3
application_mobilenet	application_mobilenet
application_mobilenet_v2	application_mobilenet_v2
application_nasnet	application_nasnet
application_nasnetlarge	application_nasnet
application_nasnetmobile	application_nasnet
application_resnet50	application_resnet50
application_vgg	application_vgg
application_vgg16	application_vgg
application_vgg19	application_vgg
application_xception	application_xception
array_reshape	reexports
backend	backend
bidirectional	bidirectional
callback_csv_logger	callback_csv_logger
callback_early_stopping	callback_early_stopping
callback_lambda	callback_lambda
callback_learning_rate_scheduler	callback_learning_rate_scheduler
callback_model_checkpoint	callback_model_checkpoint
callback_progbar_logger	callback_progbar_logger
callback_reduce_lr_on_plateau	callback_reduce_lr_on_plateau
callback_remote_monitor	callback_remote_monitor
callback_tensorboard	callback_tensorboard
callback_terminate_on_naan	callback_terminate_on_naan
clone_model	clone_model
compile	reexports
compile.keras.engine.training.Model	compile.keras.engine.training.Model
constraints	constraints
constraint_maxnorm	constraints
constraint_minmaxnorm	constraints
constraint_nonneg	constraints
constraint_unitnorm	constraints
count_params	count_params
create_layer	create_layer
create_wrapper	create_wrapper
custom_metric	metric_binary_accuracy
dataset_boston_housing	dataset_boston_housing
dataset_cifar10	dataset_cifar10
dataset_cifar100	dataset_cifar100
dataset_fashion_mnist	dataset_fashion_mnist
dataset_imdb	dataset_imdb
dataset_imdb_word_index	dataset_imdb
dataset_mnist	dataset_mnist
dataset_reuters	dataset_reuters
dataset_reuters_word_index	dataset_reuters
densenet_preprocess_input	application_densenet
evaluate	reexports
evaluate.keras.engine.training.Model	evaluate.keras.engine.training.Model
evaluate_generator	evaluate_generator
export_savedmodel	reexports
export_savedmodel.keras.engine.training.Model	export_savedmodel.keras.engine.training.Model
fit	reexports
fit.keras.engine.training.Model	fit.keras.engine.training.Model
fit_generator	fit_generator
fit_image_data_generator	fit_image_data_generator
fit_text_tokenizer	fit_text_tokenizer
flags	reexports
flag_boolean	reexports
flag_integer	reexports
flag_numeric	reexports
flag_string	reexports
flow_images_from_data	flow_images_from_data
flow_images_from_dataframe	flow_images_from_dataframe
flow_images_from_directory	flow_images_from_directory
freeze_weights	freeze_weights
from_config	get_config
generator_next	generator_next
get_config	get_config
get_file	get_file
get_input_at	get_input_at
get_input_mask_at	get_input_at
get_input_shape_at	get_input_at
get_layer	get_layer
get_output_at	get_input_at
get_output_mask_at	get_input_at
get_output_shape_at	get_input_at
get_vocabulary	get_vocabulary
get_weights	get_weights
hdf5_matrix	hdf5_matrix
imagenet_decode_predictions	imagenet_decode_predictions
imagenet_preprocess_input	imagenet_preprocess_input
image_array_resize	image_to_array
image_array_save	image_to_array
image_data_generator	image_data_generator
image_load	image_load
image_to_array	image_to_array
implementation	implementation
inception_resnet_v2_preprocess_input	application_inception_resnet_v2
inception_v3_preprocess_input	application_inception_v3
initializer_constant	initializer_constant
initializer_glorot_normal	initializer_glorot_normal
initializer_glorot_uniform	initializer_glorot_uniform
initializer_he_normal	initializer_he_normal
initializer_he_uniform	initializer_he_uniform
initializer_identity	initializer_identity
initializer_lecun_normal	initializer_lecun_normal
initializer_lecun_uniform	initializer_lecun_uniform
initializer_ones	initializer_ones
initializer_orthogonal	initializer_orthogonal
initializer_random_normal	initializer_random_normal
initializer_random_uniform	initializer_random_uniform
initializer_truncated_normal	initializer_truncated_normal
initializer_variance_scaling	initializer_variance_scaling
initializer_zeros	initializer_zeros
install_keras	install_keras
is_keras_available	is_keras_available
keras	keras-package
KerasCallback	KerasCallback
KerasConstraint	KerasConstraint
KerasLayer	KerasLayer
KerasWrapper	KerasWrapper
keras_array	keras_array
keras_model	keras_model
keras_model_custom	keras_model_custom
keras_model_sequential	keras_model_sequential
k_abs	k_abs
k_all	k_all
k_any	k_any
k_arange	k_arange
k_argmax	k_argmax
k_argmin	k_argmin
k_backend	k_backend
k_batch_dot	k_batch_dot
k_batch_flatten	k_batch_flatten
k_batch_get_value	k_batch_get_value
k_batch_normalization	k_batch_normalization
k_batch_set_value	k_batch_set_value
k_bias_add	k_bias_add
k_binary_crossentropy	k_binary_crossentropy
k_cast	k_cast
k_cast_to_floatx	k_cast_to_floatx
k_categorical_crossentropy	k_categorical_crossentropy
k_clear_session	k_clear_session
k_clip	k_clip
k_concatenate	k_concatenate
k_constant	k_constant
k_conv1d	k_conv1d
k_conv2d	k_conv2d
k_conv2d_transpose	k_conv2d_transpose
k_conv3d	k_conv3d
k_conv3d_transpose	k_conv3d_transpose
k_cos	k_cos
k_count_params	k_count_params
k_ctc_batch_cost	k_ctc_batch_cost
k_ctc_decode	k_ctc_decode
k_ctc_label_dense_to_sparse	k_ctc_label_dense_to_sparse
k_cumprod	k_cumprod
k_cumsum	k_cumsum
k_depthwise_conv2d	k_depthwise_conv2d
k_dot	k_dot
k_dropout	k_dropout
k_dtype	k_dtype
k_elu	k_elu
k_epsilon	k_epsilon
k_equal	k_equal
k_eval	k_eval
k_exp	k_exp
k_expand_dims	k_expand_dims
k_eye	k_eye
k_flatten	k_flatten
k_floatx	k_floatx
k_foldl	k_foldl
k_foldr	k_foldr
k_function	k_function
k_gather	k_gather
k_get_session	k_get_session
k_get_uid	k_get_uid
k_get_value	k_get_value
k_get_variable_shape	k_get_variable_shape
k_gradients	k_gradients
k_greater	k_greater
k_greater_equal	k_greater_equal
k_hard_sigmoid	k_hard_sigmoid
k_identity	k_identity
k_image_data_format	k_image_data_format
k_int_shape	k_int_shape
k_in_test_phase	k_in_test_phase
k_in_top_k	k_in_top_k
k_in_train_phase	k_in_train_phase
k_is_keras_tensor	k_is_keras_tensor
k_is_placeholder	k_is_placeholder
k_is_sparse	k_is_sparse
k_is_tensor	k_is_tensor
k_l2_normalize	k_l2_normalize
k_learning_phase	k_learning_phase
k_less	k_less
k_less_equal	k_less_equal
k_local_conv1d	k_local_conv1d
k_local_conv2d	k_local_conv2d
k_log	k_log
k_logsumexp	k_logsumexp
k_manual_variable_initialization	k_manual_variable_initialization
k_map_fn	k_map_fn
k_max	k_max
k_maximum	k_maximum
k_mean	k_mean
k_min	k_min
k_minimum	k_minimum
k_moving_average_update	k_moving_average_update
k_ndim	k_ndim
k_normalize_batch_in_training	k_normalize_batch_in_training
k_not_equal	k_not_equal
k_ones	k_ones
k_ones_like	k_ones_like
k_one_hot	k_one_hot
k_permute_dimensions	k_permute_dimensions
k_placeholder	k_placeholder
k_pool2d	k_pool2d
k_pool3d	k_pool3d
k_pow	k_pow
k_print_tensor	k_print_tensor
k_prod	k_prod
k_random_binomial	k_random_binomial
k_random_normal	k_random_normal
k_random_normal_variable	k_random_normal_variable
k_random_uniform	k_random_uniform
k_random_uniform_variable	k_random_uniform_variable
k_relu	k_relu
k_repeat	k_repeat
k_repeat_elements	k_repeat_elements
k_reset_uids	k_reset_uids
k_reshape	k_reshape
k_resize_images	k_resize_images
k_resize_volumes	k_resize_volumes
k_reverse	k_reverse
k_rnn	k_rnn
k_round	k_round
k_separable_conv2d	k_separable_conv2d
k_set_epsilon	k_epsilon
k_set_floatx	k_floatx
k_set_image_data_format	k_image_data_format
k_set_learning_phase	k_set_learning_phase
k_set_session	k_get_session
k_set_value	k_set_value
k_shape	k_shape
k_sigmoid	k_sigmoid
k_sign	k_sign
k_sin	k_sin
k_softmax	k_softmax
k_softplus	k_softplus
k_softsign	k_softsign
k_sparse_categorical_crossentropy	k_sparse_categorical_crossentropy
k_spatial_2d_padding	k_spatial_2d_padding
k_spatial_3d_padding	k_spatial_3d_padding
k_sqrt	k_sqrt
k_square	k_square
k_squeeze	k_squeeze
k_stack	k_stack
k_std	k_std
k_stop_gradient	k_stop_gradient
k_sum	k_sum
k_switch	k_switch
k_tanh	k_tanh
k_temporal_padding	k_temporal_padding
k_tile	k_tile
k_to_dense	k_to_dense
k_transpose	k_transpose
k_truncated_normal	k_truncated_normal
k_update	k_update
k_update_add	k_update_add
k_update_sub	k_update_sub
k_var	k_var
k_variable	k_variable
k_zeros	k_zeros
k_zeros_like	k_zeros_like
layer_activation	layer_activation
layer_activation_elu	layer_activation_elu
layer_activation_leaky_relu	layer_activation_leaky_relu
layer_activation_parametric_relu	layer_activation_parametric_relu
layer_activation_relu	layer_activation_relu
layer_activation_selu	layer_activation_selu
layer_activation_softmax	layer_activation_softmax
layer_activation_thresholded_relu	layer_activation_thresholded_relu
layer_activity_regularization	layer_activity_regularization
layer_add	layer_add
layer_alpha_dropout	layer_alpha_dropout
layer_attention	layer_attention
layer_average	layer_average
layer_average_pooling_1d	layer_average_pooling_1d
layer_average_pooling_2d	layer_average_pooling_2d
layer_average_pooling_3d	layer_average_pooling_3d
layer_batch_normalization	layer_batch_normalization
layer_concatenate	layer_concatenate
layer_conv_1d	layer_conv_1d
layer_conv_2d	layer_conv_2d
layer_conv_2d_transpose	layer_conv_2d_transpose
layer_conv_3d	layer_conv_3d
layer_conv_3d_transpose	layer_conv_3d_transpose
layer_conv_lstm_2d	layer_conv_lstm_2d
layer_cropping_1d	layer_cropping_1d
layer_cropping_2d	layer_cropping_2d
layer_cropping_3d	layer_cropping_3d
layer_cudnn_gru	layer_cudnn_gru
layer_cudnn_lstm	layer_cudnn_lstm
layer_dense	layer_dense
layer_dense_features	layer_dense_features
layer_depthwise_conv_2d	layer_depthwise_conv_2d
layer_dot	layer_dot
layer_dropout	layer_dropout
layer_embedding	layer_embedding
layer_flatten	layer_flatten
layer_gaussian_dropout	layer_gaussian_dropout
layer_gaussian_noise	layer_gaussian_noise
layer_global_average_pooling_1d	layer_global_average_pooling_1d
layer_global_average_pooling_2d	layer_global_average_pooling_2d
layer_global_average_pooling_3d	layer_global_average_pooling_3d
layer_global_max_pooling_1d	layer_global_max_pooling_1d
layer_global_max_pooling_2d	layer_global_max_pooling_2d
layer_global_max_pooling_3d	layer_global_max_pooling_3d
layer_gru	layer_gru
layer_input	layer_input
layer_lambda	layer_lambda
layer_locally_connected_1d	layer_locally_connected_1d
layer_locally_connected_2d	layer_locally_connected_2d
layer_lstm	layer_lstm
layer_masking	layer_masking
layer_maximum	layer_maximum
layer_max_pooling_1d	layer_max_pooling_1d
layer_max_pooling_2d	layer_max_pooling_2d
layer_max_pooling_3d	layer_max_pooling_3d
layer_minimum	layer_minimum
layer_multiply	layer_multiply
layer_permute	layer_permute
layer_repeat_vector	layer_repeat_vector
layer_reshape	layer_reshape
layer_separable_conv_1d	layer_separable_conv_1d
layer_separable_conv_2d	layer_separable_conv_2d
layer_simple_rnn	layer_simple_rnn
layer_spatial_dropout_1d	layer_spatial_dropout_1d
layer_spatial_dropout_2d	layer_spatial_dropout_2d
layer_spatial_dropout_3d	layer_spatial_dropout_3d
layer_subtract	layer_subtract
layer_text_vectorization	layer_text_vectorization
layer_upsampling_1d	layer_upsampling_1d
layer_upsampling_2d	layer_upsampling_2d
layer_upsampling_3d	layer_upsampling_3d
layer_zero_padding_1d	layer_zero_padding_1d
layer_zero_padding_2d	layer_zero_padding_2d
layer_zero_padding_3d	layer_zero_padding_3d
load_model_hdf5	save_model_hdf5
load_model_tf	save_model_tf
load_model_weights_hdf5	save_model_weights_hdf5
load_model_weights_tf	save_model_weights_tf
load_text_tokenizer	save_text_tokenizer
loss_binary_crossentropy	loss_mean_squared_error
loss_categorical_crossentropy	loss_mean_squared_error
loss_categorical_hinge	loss_mean_squared_error
loss_cosine_proximity	loss_mean_squared_error
loss_cosine_similarity	loss_mean_squared_error
loss_hinge	loss_mean_squared_error
loss_kullback_leibler_divergence	loss_mean_squared_error
loss_logcosh	loss_mean_squared_error
loss_mean_absolute_error	loss_mean_squared_error
loss_mean_absolute_percentage_error	loss_mean_squared_error
loss_mean_squared_error	loss_mean_squared_error
loss_mean_squared_logarithmic_error	loss_mean_squared_error
loss_poisson	loss_mean_squared_error
loss_sparse_categorical_crossentropy	loss_mean_squared_error
loss_squared_hinge	loss_mean_squared_error
make_sampling_table	make_sampling_table
metric_binary_accuracy	metric_binary_accuracy
metric_binary_crossentropy	metric_binary_accuracy
metric_categorical_accuracy	metric_binary_accuracy
metric_categorical_crossentropy	metric_binary_accuracy
metric_cosine_proximity	metric_binary_accuracy
metric_hinge	metric_binary_accuracy
metric_kullback_leibler_divergence	metric_binary_accuracy
metric_mean_absolute_error	metric_binary_accuracy
metric_mean_absolute_percentage_error	metric_binary_accuracy
metric_mean_squared_error	metric_binary_accuracy
metric_mean_squared_logarithmic_error	metric_binary_accuracy
metric_poisson	metric_binary_accuracy
metric_sparse_categorical_crossentropy	metric_binary_accuracy
metric_sparse_top_k_categorical_accuracy	metric_binary_accuracy
metric_squared_hinge	metric_binary_accuracy
metric_top_k_categorical_accuracy	metric_binary_accuracy
mobilenet_decode_predictions	application_mobilenet
mobilenet_load_model_hdf5	application_mobilenet
mobilenet_preprocess_input	application_mobilenet
mobilenet_v2_decode_predictions	application_mobilenet_v2
mobilenet_v2_load_model_hdf5	application_mobilenet_v2
mobilenet_v2_preprocess_input	application_mobilenet_v2
model_from_json	model_to_json
model_from_saved_model	model_from_saved_model
model_from_yaml	model_to_yaml
model_to_json	model_to_json
model_to_saved_model	model_to_saved_model
model_to_yaml	model_to_yaml
multi_gpu_model	multi_gpu_model
nasnet_preprocess_input	application_nasnet
normalize	normalize
optimizer_adadelta	optimizer_adadelta
optimizer_adagrad	optimizer_adagrad
optimizer_adam	optimizer_adam
optimizer_adamax	optimizer_adamax
optimizer_nadam	optimizer_nadam
optimizer_rmsprop	optimizer_rmsprop
optimizer_sgd	optimizer_sgd
pad_sequences	pad_sequences
plot.keras_training_history	plot.keras_training_history
pop_layer	pop_layer
predict.keras.engine.training.Model	predict.keras.engine.training.Model
predict_classes	predict_proba
predict_generator	predict_generator
predict_on_batch	predict_on_batch
predict_proba	predict_proba
reexports	reexports
regularizer_l1	regularizer_l1
regularizer_l1_l2	regularizer_l1
regularizer_l2	regularizer_l1
reset_states	reset_states
run_dir	reexports
save_model_hdf5	save_model_hdf5
save_model_tf	save_model_tf
save_model_weights_hdf5	save_model_weights_hdf5
save_model_weights_tf	save_model_weights_tf
save_text_tokenizer	save_text_tokenizer
sequences_to_matrix	sequences_to_matrix
serialize_model	serialize_model
set_vocabulary	set_vocabulary
set_weights	get_weights
shape	reexports
skipgrams	skipgrams
summary.keras.engine.training.Model	summary.keras.engine.training.Model
tensorboard	reexports
test_on_batch	train_on_batch
texts_to_matrix	texts_to_matrix
texts_to_sequences	texts_to_sequences
texts_to_sequences_generator	texts_to_sequences_generator
text_hashing_trick	text_hashing_trick
text_one_hot	text_one_hot
text_tokenizer	text_tokenizer
text_to_word_sequence	text_to_word_sequence
timeseries_generator	timeseries_generator
time_distributed	time_distributed
to_categorical	to_categorical
train_on_batch	train_on_batch
tuple	reexports
unfreeze_weights	freeze_weights
unserialize_model	serialize_model
use_backend	use_implementation
use_condaenv	reexports
use_implementation	use_implementation
use_python	reexports
use_session_with_seed	reexports
use_virtualenv	reexports
with_custom_object_scope	with_custom_object_scope
xception_preprocess_input	application_xception
