登录
TensorFlow 1 version
|
Public API for tf.layers.experimental namespace.
Functions
keras_style_scope(...): Use Keras-style variable management.
set_keras_style(...): Use Keras-style variable management.
TensorFlow
- Overview
- AggregationMethod
- argsort
- batch_to_space
- bitcast
- boolean_mask
- broadcast_dynamic_shape
- broadcast_static_shape
- broadcast_to
- case
- clip_by_global_norm
- clip_by_norm
- clip_by_value
- concat
- cond
- constant
- constant_initializer
- control_dependencies
- convert_to_tensor
- CriticalSection
- custom_gradient
- device
- DeviceSpec
- dynamic_partition
- dynamic_stitch
- edit_distance
- einsum
- ensure_shape
- executing_eagerly
- expand_dims
- extract_volume_patches
- eye
- fill
- fingerprint
- foldl
- foldr
- function
- gather
- gather_nd
- get_logger
- get_static_value
- gradients
- GradientTape
- grad_pass_through
- Graph
- group
- guarantee_const
- hessians
- histogram_fixed_width
- histogram_fixed_width_bins
- identity
- identity_n
- IndexedSlices
- IndexedSlicesSpec
- init_scope
- is_tensor
- linspace
- load_library
- load_op_library
- make_ndarray
- make_tensor_proto
- map_fn
- meshgrid
- Module
- name_scope
- nondifferentiable_batch_function
- norm
- no_gradient
- no_op
- numpy_function
- ones
- ones_initializer
- ones_like
- one_hot
- Operation
- OptionalSpec
- pad
- parallel_stack
- py_function
- RaggedTensor
- RaggedTensorSpec
- random_normal_initializer
- random_uniform_initializer
- range
- rank
- realdiv
- recompute_grad
- reduce_all
- RegisterGradient
- register_tensor_conversion_function
- required_space_to_batch_paddings
- reshape
- reverse
- reverse_sequence
- roll
- scan
- scatter_nd
- searchsorted
- sequence_mask
- shape
- shape_n
- size
- slice
- sort
- space_to_batch
- space_to_batch_nd
- SparseTensorSpec
- split
- squeeze
- stack
- stop_gradient
- strided_slice
- switch_case
- Tensor
- TensorArray
- TensorArraySpec
- tensordot
- TensorShape
- TensorSpec
- tensor_scatter_nd_add
- tensor_scatter_nd_sub
- tensor_scatter_nd_update
- tile
- timestamp
- transpose
- truncatediv
- truncatemod
- tuple
- TypeSpec
- UnconnectedGradients
- unique
- unique_with_counts
- unravel_index
- unstack
- VariableAggregation
- VariableSynchronization
- variable_creator_scope
- vectorized_map
- where
- while_loop
- zeros
- zeros_initializer
- zeros_like
- Overview
- as_bytes
- as_str_any
- as_text
- dimension_at_index
- dimension_value
- forward_compatibility_horizon
- forward_compatible
- path_to_str
-
- v1.Overview
- v1.add_check_numerics_ops
- v1.add_to_collection
- v1.add_to_collections
- v1.all_variables
- v1.argmax
- v1.argmin
- v1.arg_max
- v1.arg_min
- v1.assert_equal
- v1.assert_greater
- v1.assert_greater_equal
- v1.assert_integer
- v1.assert_less
- v1.assert_less_equal
- v1.assert_near
- v1.assert_negative
- v1.assert_none_equal
- v1.assert_non_negative
- v1.assert_non_positive
- v1.assert_positive
- v1.assert_rank
- v1.assert_rank_at_least
- v1.assert_rank_in
- v1.assert_scalar
- v1.assert_type
- v1.assert_variables_initialized
- v1.assign
- v1.assign_add
- v1.assign_sub
- v1.AttrValue
- v1.AttrValue.ListValueAttrValue.ListValue
- v1.batch_gather
- v1.batch_scatter_update
- v1.batch_to_space
- v1.batch_to_space_nd
- v1.bincount
- v1.boolean_mask
- v1.case
- v1.clip_by_average_norm
- v1.colocate_with
- v1.cond
- v1.ConditionalAccumulator
- v1.ConditionalAccumulatorBase
- v1.ConfigProto
- v1.ConfigProto.DeviceCountEntryConfigProto.DeviceCountEntry
- v1.ConfigProto.ExperimentalConfigProto.Experimental
- v1.confusion_matrix
- v1.constant
- v1.container
- v1.control_flow_v2_enabled
- v1.convert_to_tensor
- v1.convert_to_tensor_or_indexed_slices
- v1.convert_to_tensor_or_sparse_tensor
- v1.count_nonzero
- v1.count_up_to
- v1.create_partitioned_variables
- v1.decode_csv
- v1.decode_raw
- v1.delete_session_tensor
- v1.depth_to_space
- v1.device
- v1.DeviceSpec
- v1.Dimension
- v1.disable_control_flow_v2
- v1.disable_eager_execution
- v1.disable_resource_variables
- v1.disable_tensor_equality
- v1.disable_v2_behavior
- v1.disable_v2_tensorshape
- v1.enable_control_flow_v2
- v1.enable_eager_execution
- v1.enable_resource_variables
- v1.enable_tensor_equality
- v1.enable_v2_behavior
- v1.enable_v2_tensorshape
- v1.Event
- v1.expand_dims
- v1.extract_image_patches
- v1.FixedLengthRecordReader
- v1.fixed_size_partitioner
- v1.floor_div
- v1.gather
- v1.gather_nd
- v1.get_collection
- v1.get_collection_ref
- v1.get_default_graph
- v1.get_default_session
- v1.get_local_variable
- v1.get_seed
- v1.get_session_handle
- v1.get_session_tensor
- v1.get_variable
- v1.get_variable_scope
- v1.global_variables
- v1.global_variables_initializer
- v1.GPUOptions
- v1.GPUOptions.ExperimentalGPUOptions.Experimental
- v1.GPUOptions.Experimental.VirtualDevicesGPUOptions.Experimental.VirtualDevices
- v1.gradients
- v1.GraphDef
- v1.GraphKeys
- v1.GraphOptions
- v1.hessians
- v1.HistogramProto
- v1.IdentityReader
- v1.initialize_all_tables
- v1.initialize_all_variables
- v1.initialize_local_variables
- v1.initialize_variables
- v1.InteractiveSession
- v1.is_variable_initialized
- v1.LMDBReader
- v1.load_file_system_library
- v1.local_variables
- v1.local_variables_initializer
- v1.LogMessage
- v1.make_template
- v1.MetaGraphDef
- v1.MetaGraphDef.CollectionDefEntryMetaGraphDef.CollectionDefEntry
- v1.MetaGraphDef.MetaInfoDefMetaGraphDef.MetaInfoDef
- v1.MetaGraphDef.SignatureDefEntryMetaGraphDef.SignatureDefEntry
- v1.min_max_variable_partitioner
- v1.model_variables
- v1.moving_average_variables
- v1.multinomial
- v1.NameAttrList
- v1.NameAttrList.AttrEntryNameAttrList.AttrEntry
- v1.NodeDef
- v1.NodeDef.AttrEntryNodeDef.AttrEntry
- v1.NodeDef.ExperimentalDebugInfoNodeDef.ExperimentalDebugInfo
- v1.norm
- v1.no_regularizer
- v1.ones_like
- v1.OptimizerOptions
- v1.op_scope
- v1.pad
- v1.parse_example
- v1.parse_single_example
- v1.placeholder
- v1.placeholder_with_default
- v1.Print
- v1.py_func
- v1.quantize_v2
- v1.random_normal_initializer
- v1.random_poisson
- v1.random_uniform_initializer
- v1.ReaderBase
- v1.reduce_all
- v1.reduce_any
- v1.reduce_join
- v1.reduce_logsumexp
- v1.reduce_max
- v1.reduce_mean
- v1.reduce_min
- v1.reduce_prod
- v1.reduce_sum
- v1.report_uninitialized_variables
- v1.reset_default_graph
- v1.resource_variables_enabled
- v1.reverse_sequence
- v1.RunMetadata
- v1.RunMetadata.FunctionGraphsRunMetadata.FunctionGraphs
- v1.RunOptions
- v1.RunOptions.ExperimentalRunOptions.Experimental
- v1.scalar_mul
- v1.scatter_add
- v1.scatter_div
- v1.scatter_max
- v1.scatter_min
- v1.scatter_mul
- v1.scatter_nd_add
- v1.scatter_nd_sub
- v1.scatter_nd_update
- v1.scatter_sub
- v1.scatter_update
- v1.serialize_many_sparse
- v1.serialize_sparse
- v1.Session
- v1.SessionLog
- v1.setdiff1d
- v1.set_random_seed
- v1.shape
- v1.size
- v1.space_to_batch
- v1.space_to_depth
- v1.SparseConditionalAccumulator
- v1.SparseTensorValue
- v1.sparse_add
- v1.sparse_concat
- v1.sparse_matmul
- v1.sparse_merge
- v1.sparse_placeholder
- v1.sparse_reduce_max
- v1.sparse_reduce_max_sparse
- v1.sparse_reduce_sum
- v1.sparse_reduce_sum_sparse
- v1.sparse_segment_mean
- v1.sparse_segment_sqrt_n
- v1.sparse_segment_sum
- v1.sparse_split
- v1.sparse_to_dense
- v1.squeeze
- v1.string_split
- v1.string_to_hash_bucket
- v1.string_to_number
- v1.substr
- v1.Summary
- v1.Summary.AudioSummary.Audio
- v1.Summary.ImageSummary.Image
- v1.Summary.ValueSummary.Value
- v1.SummaryMetadata
- v1.SummaryMetadata.PluginDataSummaryMetadata.PluginData
- v1.tables_initializer
- v1.TensorInfo
- v1.TensorInfo.CooSparseTensorInfo.CooSparse
- v1.TextLineReader
- v1.TFRecordReader
- v1.to_bfloat16
- v1.to_complex128
- v1.to_complex64
- v1.to_double
- v1.to_float
- v1.to_int32
- v1.to_int64
- v1.trainable_variables
- v1.transpose
- v1.truncated_normal_initializer
- v1.tuple
- v1.uniform_unit_scaling_initializer
- v1.Variable
- v1.VariableAggregation
- v1.VariableScope
- v1.variables_initializer
- v1.variable_axis_size_partitioner
- v1.variable_creator_scope
- v1.variable_op_scope
- v1.variable_scope
- v1.verify_tensor_all_finite
- v1.where
- v1.while_loop
- v1.WholeFileReader
- v1.wrap_function
- v1.zeros_like
- v1.app.Overview
- v1.app.run
- v1.audio.Overview
- v1.autograph.Overview
- v1.autograph.to_code
- v1.autograph.to_graph
- v1.autograph.experimental.Overview
- v1.bitwise.Overview
- v1.Overview
- v1.config.Overview
- v1.config.experimental.Overview
- v1.config.optimizer.Overview
- v1.config.threading.Overview
- v1.data.Overview
- v1.data.Dataset
- v1.data.FixedLengthRecordDataset
- v1.data.get_output_classes
- v1.data.get_output_shapes
- v1.data.get_output_types
- v1.data.Iterator
- v1.data.make_initializable_iterator
- v1.data.make_one_shot_iterator
- v1.data.TextLineDataset
- v1.data.TFRecordDataset
- v1.data.experimental.Overview
- v1.data.experimental.choose_from_datasets
- v1.data.experimental.Counter
- v1.data.experimental.CsvDataset
- v1.data.experimental.make_batched_features_dataset
- v1.data.experimental.make_csv_dataset
- v1.data.experimental.map_and_batch_with_legacy_function
- v1.data.experimental.RaggedTensorStructure
- v1.data.experimental.RandomDataset
- v1.data.experimental.sample_from_datasets
- v1.data.experimental.SparseTensorStructure
- v1.data.experimental.SqlDataset
- v1.data.experimental.StatsAggregator
- v1.data.experimental.TensorArrayStructure
- v1.data.experimental.TensorStructure
- v1.debugging.Overview
- v1.debugging.assert_shapes
- v1.distribute.Overview
- v1.distribute.get_loss_reduction
- v1.distribute.MirroredStrategy
- v1.distribute.OneDeviceStrategy
- v1.distribute.Strategy
- v1.distribute.StrategyExtended
- v1.distribute.cluster_resolver.Overview
- v1.distribute.experimental.Overview
- v1.distribute.experimental.CentralStorageStrategy
- v1.distribute.experimental.MultiWorkerMirroredStrategy
- v1.distribute.experimental.ParameterServerStrategy
- v1.distribute.experimental.TPUStrategy
- v1.distributions.Overview
- v1.distributions.Bernoulli
- v1.distributions.Beta
- v1.distributions.Categorical
- v1.distributions.Dirichlet
- v1.distributions.DirichletMultinomial
- v1.distributions.Distribution
- v1.distributions.Exponential
- v1.distributions.Gamma
- v1.distributions.kl_divergence
- v1.distributions.Laplace
- v1.distributions.Multinomial
- v1.distributions.Normal
- v1.distributions.RegisterKL
- v1.distributions.ReparameterizationType
- v1.distributions.StudentT
- v1.distributions.Uniform
- v1.dtypes.Overview
- v1.errors.Overview
- v1.errors.error_code_from_exception_type
- v1.errors.exception_type_from_error_code
- v1.errors.raise_exception_on_not_ok_status
- v1.estimator.Overview
- v1.estimator.BaselineClassifier
- v1.estimator.BaselineEstimator
- v1.estimator.BaselineRegressor
- v1.estimator.classifier_parse_example_spec
- v1.estimator.DNNClassifier
- v1.estimator.DNNEstimator
- v1.estimator.DNNLinearCombinedClassifier
- v1.estimator.DNNLinearCombinedEstimator
- v1.estimator.DNNLinearCombinedRegressor
- v1.estimator.DNNRegressor
- v1.estimator.Estimator
- v1.estimator.LinearClassifier
- v1.estimator.LinearEstimator
- v1.estimator.LinearRegressor
- v1.estimator.regressor_parse_example_spec
- v1.estimator.experimental.Overview
- v1.estimator.experimental.dnn_logit_fn_builder
- v1.estimator.experimental.KMeans
- v1.estimator.experimental.linear_logit_fn_builder
- v1.estimator.export.Overview
- v1.estimator.inputs.Overview
- v1.estimator.inputs.numpy_input_fn
- v1.estimator.inputs.pandas_input_fn
- v1.estimator.tpu.Overview
- v1.estimator.tpu.InputPipelineConfig
- v1.estimator.tpu.RunConfig
- v1.estimator.tpu.TPUConfig
- v1.estimator.tpu.TPUEstimator
- v1.estimator.tpu.TPUEstimatorSpec
- v1.estimator.tpu.experimental.Overview
- v1.estimator.tpu.experimental.EmbeddingConfigSpec
- v1.experimental.Overview
- v1.experimental.output_all_intermediates
- v1.feature_column.Overview
- v1.feature_column.categorical_column_with_vocabulary_file
- v1.feature_column.input_layer
- v1.feature_column.linear_model
- v1.feature_column.make_parse_example_spec
- v1.feature_column.shared_embedding_columns
- v1.flags.Overview
- v1.flags.adopt_module_key_flags
- v1.flags.ArgumentParser
- v1.flags.ArgumentSerializer
- v1.flags.BaseListParser
- v1.flags.BooleanFlag
- v1.flags.BooleanParser
- v1.flags.CantOpenFlagFileError
- v1.flags.CsvListSerializer
- v1.flags.declare_key_flag
- v1.flags.DEFINE
- v1.flags.DEFINE_alias
- v1.flags.DEFINE_bool
- v1.flags.DEFINE_enum
- v1.flags.DEFINE_enum_class
- v1.flags.DEFINE_flag
- v1.flags.DEFINE_float
- v1.flags.DEFINE_integer
- v1.flags.DEFINE_list
- v1.flags.DEFINE_multi
- v1.flags.DEFINE_multi_enum
- v1.flags.DEFINE_multi_enum_class
- v1.flags.DEFINE_multi_float
- v1.flags.DEFINE_multi_integer
- v1.flags.DEFINE_multi_string
- v1.flags.DEFINE_spaceseplist
- v1.flags.DEFINE_string
- v1.flags.disclaim_key_flags
- v1.flags.doc_to_help
- v1.flags.DuplicateFlagError
- v1.flags.EnumClassFlag
- v1.flags.EnumClassParser
- v1.flags.EnumFlag
- v1.flags.EnumParser
- v1.flags.Error
- v1.flags.Flag
- v1.flags.FlagNameConflictsWithMethodError
- v1.flags.FlagValues
- v1.flags.flag_dict_to_args
- v1.flags.FloatParser
- v1.flags.get_help_width
- v1.flags.IllegalFlagValueError
- v1.flags.IntegerParser
- v1.flags.ListParser
- v1.flags.ListSerializer
- v1.flags.mark_bool_flags_as_mutual_exclusive
- v1.flags.mark_flags_as_mutual_exclusive
- v1.flags.mark_flags_as_required
- v1.flags.mark_flag_as_required
- v1.flags.MultiEnumClassFlag
- v1.flags.MultiFlag
- v1.flags.multi_flags_validator
- v1.flags.register_multi_flags_validator
- v1.flags.register_validator
- v1.flags.text_wrap
- v1.flags.UnparsedFlagAccessError
- v1.flags.UnrecognizedFlagError
- v1.flags.ValidationError
- v1.flags.validator
- v1.flags.WhitespaceSeparatedListParser
- v1.flags.tf_decorator.Overview
- v1.flags.tf_decorator.make_decorator
- v1.flags.tf_decorator.rewrap
- v1.flags.tf_decorator.TFDecorator
- v1.flags.tf_decorator.unwrap
- v1.flags.tf_decorator.tf_stack.Overview
- v1.flags.tf_decorator.tf_stack.convert_stack
- v1.flags.tf_decorator.tf_stack.CurrentModuleFilter
- v1.flags.tf_decorator.tf_stack.extract_stack
- v1.flags.tf_decorator.tf_stack.extract_stack_file_and_line
- v1.flags.tf_decorator.tf_stack.FileAndLine
- v1.flags.tf_decorator.tf_stack.StackTraceFilter
- v1.flags.tf_decorator.tf_stack.StackTraceMapper
- v1.flags.tf_decorator.tf_stack.StackTraceTransform
- v1.gfile.Overview
- v1.gfile.Copy
- v1.gfile.DeleteRecursively
- v1.gfile.Exists
- v1.gfile.FastGFile
- v1.gfile.Glob
- v1.gfile.IsDirectory
- v1.gfile.ListDirectory
- v1.gfile.MakeDirs
- v1.gfile.MkDir
- v1.gfile.Remove
- v1.gfile.Rename
- v1.gfile.Stat
- v1.gfile.Walk
- v1.graph_util.Overview
- v1.graph_util.convert_variables_to_constants
- v1.graph_util.extract_sub_graph
- v1.graph_util.must_run_on_cpu
- v1.graph_util.remove_training_nodes
- v1.graph_util.tensor_shape_from_node_def_name
- v1.image.Overview
- v1.image.crop_and_resize
- v1.image.draw_bounding_boxes
- v1.image.extract_glimpse
- v1.image.resize
- v1.image.ResizeMethod
- v1.image.resize_area
- v1.image.resize_bicubic
- v1.image.resize_bilinear
- v1.image.resize_image_with_pad
- v1.image.resize_nearest_neighbor
- v1.image.sample_distorted_bounding_box
- v1.initializers.Overview
- v1.io.Overview
- v1.io.TFRecordCompressionType
- v1.io.tf_record_iterator
- v1.io.gfile.Overview
- v1.keras.Overview
- v1.keras.activations.Overview
- v1.keras.applications.Overview
- v1.keras.applications.densenet.Overview
- v1.keras.applications.imagenet_utils.Overview
- v1.keras.applications.inception_resnet_v2.Overview
- v1.keras.applications.inception_v3.Overview
- v1.keras.applications.mobilenet.Overview
- v1.keras.applications.mobilenet_v2.Overview
- v1.keras.applications.nasnet.Overview
- v1.keras.applications.resnet.Overview
- v1.keras.applications.resnet50.Overview
- v1.keras.applications.resnet_v2.Overview
- v1.keras.applications.vgg16.Overview
- v1.keras.applications.vgg19.Overview
- v1.keras.applications.xception.Overview
- v1.keras.backend.Overview
- v1.keras.backend.get_session
- v1.keras.backend.name_scope
- v1.keras.backend.set_session
- v1.keras.callbacks.Overview
- v1.keras.callbacks.TensorBoard
- v1.keras.constraints.Overview
- v1.keras.datasets.Overview
- v1.keras.datasets.boston_housing.Overview
- v1.keras.datasets.cifar10.Overview
- v1.keras.datasets.cifar100.Overview
- v1.keras.datasets.fashion_mnist.Overview
- v1.keras.datasets.imdb.Overview
- v1.keras.datasets.mnist.Overview
- v1.keras.datasets.reuters.Overview
- v1.keras.estimator.Overview
- v1.keras.estimator.model_to_estimator
- v1.keras.experimental.Overview
- v1.keras.initializers.Overview
- v1.keras.initializers.Constant
- v1.keras.initializers.glorot_normal
- v1.keras.initializers.glorot_uniform
- v1.keras.initializers.he_normal
- v1.keras.initializers.he_uniform
- v1.keras.initializers.Identity
- v1.keras.initializers.Initializer
- v1.keras.initializers.lecun_normal
- v1.keras.initializers.lecun_uniform
- v1.keras.initializers.Ones
- v1.keras.initializers.Orthogonal
- v1.keras.initializers.RandomNormal
- v1.keras.initializers.RandomUniform
- v1.keras.initializers.TruncatedNormal
- v1.keras.initializers.VarianceScaling
- v1.keras.initializers.Zeros
- v1.keras.layers.Overview
- v1.keras.layers.BatchNormalization
- v1.keras.layers.CuDNNGRU
- v1.keras.layers.CuDNNLSTM
- v1.keras.layers.DenseFeatures
- v1.keras.layers.GRU
- v1.keras.layers.GRUCell
- v1.keras.layers.LSTM
- v1.keras.layers.LSTMCell
- v1.keras.losses.Overview
- v1.keras.metrics.Overview
- v1.keras.mixed_precision.Overview
- v1.keras.mixed_precision.experimental.Overview
- v1.keras.models.Overview
- v1.keras.optimizers.Overview
- v1.keras.optimizers.schedules.Overview
- v1.keras.preprocessing.Overview
- v1.keras.preprocessing.image.Overview
- v1.keras.preprocessing.sequence.Overview
- v1.keras.preprocessing.text.Overview
- v1.keras.regularizers.Overview
- v1.keras.utils.Overview
- v1.keras.wrappers.Overview
- v1.keras.wrappers.scikit_learn.Overview
- v1.layers.Overview
- v1.layers.AveragePooling1D
- v1.layers.AveragePooling2D
- v1.layers.AveragePooling3D
- v1.layers.average_pooling1d
- v1.layers.average_pooling2d
- v1.layers.average_pooling3d
- v1.layers.BatchNormalization
- v1.layers.batch_normalization
- v1.layers.Conv1D
- v1.layers.Conv2D
- v1.layers.Conv2DTranspose
- v1.layers.conv2d_transpose
- v1.layers.Conv3D
- v1.layers.Conv3DTranspose
- v1.layers.conv3d_transpose
- v1.layers.Dense
- v1.layers.Dropout
- v1.layers.Flatten
- v1.layers.Layer
- v1.layers.MaxPooling1D
- v1.layers.MaxPooling2D
- v1.layers.MaxPooling3D
- v1.layers.max_pooling1d
- v1.layers.max_pooling2d
- v1.layers.max_pooling3d
- v1.layers.SeparableConv1D
- v1.layers.SeparableConv2D
- v1.layers.separable_conv1d
- v1.layers.separable_conv2d
- v1.layers.experimental.Overview
- v1.layers.experimental.keras_style_scope
- v1.layers.experimental.set_keras_style
- v1.linalg.Overview
- v1.linalg.l2_normalize
- v1.lite.Overview
- v1.lite.OpHint
- v1.lite.OpHint.OpHintArgumentTrackerOpHint.OpHintArgumentTracker
- v1.lite.TFLiteConverter
- v1.lite.TocoConverter
- v1.lite.toco_convert
- v1.lite.constants.Overview
- v1.lite.experimental.Overview
- v1.lite.experimental.convert_op_hints_to_stubs
- v1.lite.experimental.get_potentially_supported_ops
- v1.lite.experimental.nn.Overview
- v1.lite.experimental.nn.dynamic_rnn
- v1.lite.experimental.nn.TFLiteLSTMCell
- v1.lite.experimental.nn.TfLiteRNNCell
- v1.logging.Overview
- v1.logging.debug
- v1.logging.error
- v1.logging.fatal
- v1.logging.flush
- v1.logging.get_verbosity
- v1.logging.info
- v1.logging.log
- v1.logging.log_every_n
- v1.logging.log_first_n
- v1.logging.log_if
- v1.logging.set_verbosity
- v1.logging.TaskLevelStatusMessage
- v1.logging.vlog
- v1.logging.warn
- v1.logging.warning
- v1.lookup.Overview
- v1.lookup.StaticHashTable
- v1.lookup.StaticVocabularyTable
- v1.lookup.experimental.Overview
- v1.losses.Overview
- v1.losses.absolute_difference
- v1.losses.add_loss
- v1.losses.compute_weighted_loss
- v1.losses.cosine_distance
- v1.losses.get_losses
- v1.losses.get_regularization_loss
- v1.losses.get_regularization_losses
- v1.losses.get_total_loss
- v1.losses.hinge_loss
- v1.losses.huber_loss
- v1.losses.log_loss
- v1.losses.mean_pairwise_squared_error
- v1.losses.mean_squared_error
- v1.losses.Reduction
- v1.losses.sigmoid_cross_entropy
- v1.losses.softmax_cross_entropy
- v1.losses.sparse_softmax_cross_entropy
- v1.manip.Overview
- v1.math.Overview
- v1.math.in_top_k
- v1.math.log_softmax
- v1.math.softmax
- v1.metrics.Overview
- v1.metrics.accuracy
- v1.metrics.auc
- v1.metrics.average_precision_at_k
- v1.metrics.false_negatives
- v1.metrics.false_negatives_at_thresholds
- v1.metrics.false_positives
- v1.metrics.false_positives_at_thresholds
- v1.metrics.mean
- v1.metrics.mean_absolute_error
- v1.metrics.mean_cosine_distance
- v1.metrics.mean_iou
- v1.metrics.mean_per_class_accuracy
- v1.metrics.mean_relative_error
- v1.metrics.mean_squared_error
- v1.metrics.mean_tensor
- v1.metrics.percentage_below
- v1.metrics.precision
- v1.metrics.precision_at_k
- v1.metrics.precision_at_thresholds
- v1.metrics.precision_at_top_k
- v1.metrics.recall
- v1.metrics.recall_at_k
- v1.metrics.recall_at_thresholds
- v1.metrics.recall_at_top_k
- v1.metrics.root_mean_squared_error
- v1.metrics.sensitivity_at_specificity
- v1.metrics.sparse_average_precision_at_k
- v1.metrics.sparse_precision_at_k
- v1.metrics.specificity_at_sensitivity
- v1.metrics.true_negatives
- v1.metrics.true_negatives_at_thresholds
- v1.metrics.true_positives
- v1.metrics.true_positives_at_thresholds
- v1.nest.Overview
- v1.nn.Overview
- v1.nn.avg_pool
- v1.nn.batch_norm_with_global_normalization
- v1.nn.bidirectional_dynamic_rnn
- v1.nn.conv1d
- v1.nn.conv2d
- v1.nn.conv2d_backprop_filter
- v1.nn.conv2d_backprop_input
- v1.nn.conv2d_transpose
- v1.nn.conv3d
- v1.nn.conv3d_backprop_filter
- v1.nn.conv3d_transpose
- v1.nn.convolution
- v1.nn.crelu
- v1.nn.ctc_beam_search_decoder
- v1.nn.ctc_loss
- v1.nn.depthwise_conv2d
- v1.nn.depthwise_conv2d_native
- v1.nn.dilation2d
- v1.nn.dropout
- v1.nn.dynamic_rnn
- v1.nn.embedding_lookup
- v1.nn.embedding_lookup_sparse
- v1.nn.erosion2d
- v1.nn.fractional_avg_pool
- v1.nn.fractional_max_pool
- v1.nn.fused_batch_norm
- v1.nn.max_pool
- v1.nn.max_pool_with_argmax
- v1.nn.moments
- v1.nn.nce_loss
- v1.nn.pool
- v1.nn.quantized_avg_pool
- v1.nn.quantized_conv2d
- v1.nn.quantized_max_pool
- v1.nn.quantized_relu_x
- v1.nn.raw_rnn
- v1.nn.relu_layer
- v1.nn.safe_embedding_lookup_sparse
- v1.nn.sampled_softmax_loss
- v1.nn.separable_conv2d
- v1.nn.sigmoid_cross_entropy_with_logits
- v1.nn.softmax_cross_entropy_with_logits
- v1.nn.softmax_cross_entropy_with_logits_v2
- v1.nn.sparse_softmax_cross_entropy_with_logits
- v1.nn.static_bidirectional_rnn
- v1.nn.static_rnn
- v1.nn.static_state_saving_rnn
- v1.nn.sufficient_statistics
- v1.nn.weighted_cross_entropy_with_logits
- v1.nn.weighted_moments
- v1.nn.xw_plus_b
- v1.nn.rnn_cell.Overview
- v1.nn.rnn_cell.BasicLSTMCell
- v1.nn.rnn_cell.BasicRNNCell
- v1.nn.rnn_cell.DeviceWrapper
- v1.nn.rnn_cell.DropoutWrapper
- v1.nn.rnn_cell.GRUCell
- v1.nn.rnn_cell.LSTMCell
- v1.nn.rnn_cell.LSTMStateTuple
- v1.nn.rnn_cell.MultiRNNCell
- v1.nn.rnn_cell.ResidualWrapper
- v1.nn.rnn_cell.RNNCell
- v1.profiler.Overview
- v1.profiler.AdviceProto
- v1.profiler.AdviceProto.CheckerAdviceProto.Checker
- v1.profiler.AdviceProto.CheckersEntryAdviceProto.CheckersEntry
- v1.profiler.advise
- v1.profiler.GraphNodeProto
- v1.profiler.GraphNodeProto.InputShapesEntryGraphNodeProto.InputShapesEntry
- v1.profiler.MultiGraphNodeProto
- v1.profiler.OpLogProto
- v1.profiler.OpLogProto.IdToStringEntryOpLogProto.IdToStringEntry
- v1.profiler.profile
- v1.profiler.ProfileOptionBuilder
- v1.profiler.Profiler
- v1.profiler.write_op_log
- v1.python_io.Overview
- v1.quantization.Overview
- v1.queue.Overview
- v1.ragged.Overview
- v1.ragged.constant_value
- v1.ragged.placeholder
- v1.ragged.RaggedTensorValue
- v1.random.Overview
- v1.random.stateless_multinomial
- v1.random.experimental.Overview
- v1.raw_ops.Overview
- v1.resource_loader.Overview
- v1.resource_loader.get_data_files_path
- v1.resource_loader.get_path_to_datafile
- v1.resource_loader.get_root_dir_with_all_resources
- v1.resource_loader.load_resource
- v1.resource_loader.readahead_file_path
- v1.saved_model.Overview
- v1.saved_model.Builder
- v1.saved_model.build_signature_def
- v1.saved_model.build_tensor_info
- v1.saved_model.classification_signature_def
- v1.saved_model.contains_saved_model
- v1.saved_model.get_tensor_from_tensor_info
- v1.saved_model.is_valid_signature
- v1.saved_model.load
- v1.saved_model.main_op_with_restore
- v1.saved_model.predict_signature_def
- v1.saved_model.regression_signature_def
- v1.saved_model.simple_save
- v1.saved_model.builder.Overview
- v1.saved_model.constants.Overview
- v1.saved_model.experimental.Overview
- v1.saved_model.loader.Overview
- v1.saved_model.main_op.Overview
- v1.saved_model.main_op.main_op
- v1.saved_model.signature_constants.Overview
- v1.saved_model.signature_def_utils.Overview
- v1.saved_model.tag_constants.Overview
- v1.saved_model.utils.Overview
- v1.sets.Overview
- v1.signal.Overview
- v1.sparse.Overview
- v1.spectral.Overview
- v1.strings.Overview
- v1.strings.length
- v1.strings.split
- v1.strings.substr
- v1.summary.Overview
- v1.summary.all_v2_summary_ops
- v1.summary.audio
- v1.summary.FileWriter
- v1.summary.FileWriterCache
- v1.summary.get_summary_description
- v1.summary.histogram
- v1.summary.image
- v1.summary.initialize
- v1.summary.merge
- v1.summary.merge_all
- v1.summary.scalar
- v1.summary.SummaryDescription
- v1.summary.TaggedRunMetadata
- v1.summary.tensor_summary
- v1.summary.text
- v1.sysconfig.Overview
- v1.test.Overview
- v1.test.assert_equal_graph_def
- v1.test.compute_gradient
- v1.test.compute_gradient_error
- v1.test.get_temp_dir
- v1.test.StubOutForTesting
- v1.test.test_src_dir_path
- v1.tpu.Overview
- v1.tpu.batch_parallel
- v1.tpu.bfloat16_scope
- v1.tpu.core
- v1.tpu.CrossShardOptimizer
- v1.tpu.cross_replica_sum
- v1.tpu.initialize_system
- v1.tpu.outside_compilation
- v1.tpu.replicate
- v1.tpu.rewrite
- v1.tpu.shard
- v1.tpu.shutdown_system
- v1.tpu.experimental.Overview
- v1.tpu.experimental.AdagradParameters
- v1.tpu.experimental.AdamParameters
- v1.tpu.experimental.embedding_column
- v1.tpu.experimental.shared_embedding_columns
- v1.tpu.experimental.StochasticGradientDescentParameters
- v1.train.Overview
- v1.train.AdadeltaOptimizer
- v1.train.AdagradDAOptimizer
- v1.train.AdagradOptimizer
- v1.train.AdamOptimizer
- v1.train.add_queue_runner
- v1.train.assert_global_step
- v1.train.basic_train_loop
- v1.train.batch
- v1.train.batch_join
- v1.train.Checkpoint
- v1.train.checkpoint_exists
- v1.train.ChiefSessionCreator
- v1.train.cosine_decay
- v1.train.cosine_decay_restarts
- v1.train.create_global_step
- v1.train.do_quantize_training_on_graphdef
- v1.train.exponential_decay
- v1.train.export_meta_graph
- v1.train.FtrlOptimizer
- v1.train.generate_checkpoint_state_proto
- v1.train.get_checkpoint_mtimes
- v1.train.get_global_step
- v1.train.get_or_create_global_step
- v1.train.global_step
- v1.train.GradientDescentOptimizer
- v1.train.import_meta_graph
- v1.train.init_from_checkpoint
- v1.train.input_producer
- v1.train.inverse_time_decay
- v1.train.limit_epochs
- v1.train.linear_cosine_decay
- v1.train.LooperThread
- v1.train.maybe_batch
- v1.train.maybe_batch_join
- v1.train.maybe_shuffle_batch
- v1.train.maybe_shuffle_batch_join
- v1.train.MomentumOptimizer
- v1.train.MonitoredSession
- v1.train.MonitoredSession.StepContextMonitoredSession.StepContext
- v1.train.MonitoredTrainingSession
- v1.train.natural_exp_decay
- v1.train.NewCheckpointReader
- v1.train.noisy_linear_cosine_decay
- v1.train.Optimizer
- v1.train.piecewise_constant
- v1.train.polynomial_decay
- v1.train.ProximalAdagradOptimizer
- v1.train.ProximalGradientDescentOptimizer
- v1.train.QueueRunner
- v1.train.range_input_producer
- v1.train.remove_checkpoint
- v1.train.replica_device_setter
- v1.train.RMSPropOptimizer
- v1.train.Saver
- v1.train.SaverDef
- v1.train.Scaffold
- v1.train.sdca_fprint
- v1.train.sdca_optimizer
- v1.train.sdca_shrink_l1
- v1.train.SessionCreator
- v1.train.SessionManager
- v1.train.shuffle_batch
- v1.train.shuffle_batch_join
- v1.train.SingularMonitoredSession
- v1.train.slice_input_producer
- v1.train.start_queue_runners
- v1.train.string_input_producer
- v1.train.summary_iterator
- v1.train.Supervisor
- v1.train.SyncReplicasOptimizer
- v1.train.update_checkpoint_state
- v1.train.warm_start
- v1.train.WorkerSessionCreator
- v1.train.experimental.Overview
- v1.train.experimental.disable_mixed_precision_graph_rewrite
- v1.train.experimental.enable_mixed_precision_graph_rewrite
- v1.train.experimental.MixedPrecisionLossScaleOptimizer
- v1.train.queue_runner.Overview
- v1.user_ops.Overview
- v1.user_ops.my_fact
- v1.version.Overview
- v1.xla.Overview
- v1.xla.experimental.Overview
-
- v2.Overview
- v2.audio.Overview
- v2.autograph.Overview
- v2.autograph.experimental.Overview
- v2.bitwise.Overview
- v2.Overview
- v2.config.Overview
- v2.config.experimental.Overview
- v2.config.optimizer.Overview
- v2.config.threading.Overview
- v2.data.Overview
- v2.data.experimental.Overview
- v2.debugging.Overview
- v2.distribute.Overview
- v2.distribute.cluster_resolver.Overview
- v2.distribute.experimental.Overview
- v2.dtypes.Overview
- v2.errors.Overview
- v2.estimator.Overview
- v2.experimental.Overview
- v2.feature_column.Overview
- v2.graph_util.Overview
- v2.image.Overview
- v2.io.Overview
- v2.io.gfile.Overview
- v2.keras.Overview
- v2.keras.activations.Overview
- v2.keras.applications.Overview
- v2.keras.applications.densenet.Overview
- v2.keras.applications.imagenet_utils.Overview
- v2.keras.applications.inception_resnet_v2.Overview
- v2.keras.applications.inception_v3.Overview
- v2.keras.applications.mobilenet.Overview
- v2.keras.applications.mobilenet_v2.Overview
- v2.keras.applications.nasnet.Overview
- v2.keras.applications.resnet.Overview
- v2.keras.applications.resnet50.Overview
- v2.keras.applications.resnet_v2.Overview
- v2.keras.applications.vgg16.Overview
- v2.keras.applications.vgg19.Overview
- v2.keras.applications.xception.Overview
- v2.keras.backend.Overview
- v2.keras.callbacks.Overview
- v2.keras.constraints.Overview
- v2.keras.datasets.Overview
- v2.keras.datasets.boston_housing.Overview
- v2.keras.datasets.cifar10.Overview
- v2.keras.datasets.cifar100.Overview
- v2.keras.datasets.fashion_mnist.Overview
- v2.keras.datasets.imdb.Overview
- v2.keras.datasets.mnist.Overview
- v2.keras.datasets.reuters.Overview
- v2.keras.estimator.Overview
- v2.keras.experimental.Overview
- v2.keras.initializers.Overview
- v2.keras.layers.Overview
- v2.keras.losses.Overview
- v2.keras.metrics.Overview
- v2.keras.mixed_precision.Overview
- v2.keras.mixed_precision.experimental.Overview
- v2.keras.models.Overview
- v2.keras.optimizers.Overview
- v2.keras.optimizers.schedules.Overview
- v2.keras.preprocessing.Overview
- v2.keras.preprocessing.image.Overview
- v2.keras.preprocessing.sequence.Overview
- v2.keras.preprocessing.text.Overview
- v2.keras.regularizers.Overview
- v2.keras.utils.Overview
- v2.keras.wrappers.Overview
- v2.keras.wrappers.scikit_learn.Overview
- v2.linalg.Overview
- v2.lite.Overview
- v2.lite.experimental.Overview
- v2.lookup.Overview
- v2.lookup.experimental.Overview
- v2.math.Overview
- v2.nest.Overview
- v2.nn.Overview
- v2.quantization.Overview
- v2.queue.Overview
- v2.ragged.Overview
- v2.random.Overview
- v2.random.experimental.Overview
- v2.raw_ops.Overview
- v2.saved_model.Overview
- v2.sets.Overview
- v2.signal.Overview
- v2.sparse.Overview
- v2.strings.Overview
- v2.sysconfig.Overview
- v2.test.Overview
- v2.tpu.Overview
- v2.tpu.experimental.Overview
- v2.train.Overview
- v2.train.experimental.Overview
- v2.version.Overview
- v2.xla.Overview
- v2.xla.experimental.Overview
- Overview
- experimental_connect_to_cluster
- experimental_connect_to_host
- experimental_list_devices
- experimental_run_functions_eagerly
- get_soft_device_placement
- set_soft_device_placement
-
- experimental.Overview
- experimental.get_device_policy
- experimental.get_memory_growth
- experimental.get_synchronous_execution
- experimental.get_virtual_device_configuration
- experimental.get_visible_devices
- experimental.list_logical_devices
- experimental.list_physical_devices
- experimental.set_device_policy
- experimental.set_memory_growth
- experimental.set_synchronous_execution
- experimental.set_virtual_device_configuration
- experimental.set_visible_devices
- experimental.VirtualDeviceConfiguration
- Overview
- Dataset
- DatasetSpec
- FixedLengthRecordDataset
- Options
- TextLineDataset
- TFRecordDataset
-
- experimental.Overview
- experimental.bucket_by_sequence_length
- experimental.bytes_produced_stats
- experimental.cardinality
- experimental.CheckpointInputPipelineHook
- experimental.choose_from_datasets
- experimental.copy_to_device
- experimental.Counter
- experimental.CsvDataset
- experimental.dense_to_sparse_batch
- experimental.DistributeOptions
- experimental.enumerate_dataset
- experimental.from_variant
- experimental.get_next_as_optional
- experimental.get_single_element
- experimental.get_structure
- experimental.group_by_reducer
- experimental.group_by_window
- experimental.ignore_errors
- experimental.latency_stats
- experimental.make_batched_features_dataset
- experimental.make_csv_dataset
- experimental.make_saveable_from_iterator
- experimental.MapVectorizationOptions
- experimental.map_and_batch
- experimental.OptimizationOptions
- experimental.Optional
- experimental.parallel_interleave
- experimental.parse_example_dataset
- experimental.prefetch_to_device
- experimental.RandomDataset
- experimental.Reducer
- experimental.rejection_resample
- experimental.sample_from_datasets
- experimental.scan
- experimental.shuffle_and_repeat
- experimental.SqlDataset
- experimental.StatsAggregator
- experimental.StatsOptions
- experimental.take_while
- experimental.TFRecordWriter
- experimental.ThreadingOptions
- experimental.to_variant
- experimental.unbatch
- experimental.unique
- Overview
- Assert
- assert_all_finite
- assert_equal
- assert_greater
- assert_greater_equal
- assert_integer
- assert_less
- assert_less_equal
- assert_near
- assert_negative
- assert_none_equal
- assert_non_negative
- assert_non_positive
- assert_positive
- assert_proper_iterable
- assert_rank
- assert_rank_at_least
- assert_rank_in
- assert_same_float_dtype
- assert_scalar
- assert_shapes
- assert_type
- check_numerics
- get_log_device_placement
- is_numeric_tensor
- set_log_device_placement
- Overview
- CrossDeviceOps
- experimental_set_strategy
- get_replica_context
- get_strategy
- has_strategy
- HierarchicalCopyAllReduce
- InputContext
- InputReplicationMode
- in_cross_replica_context
- MirroredStrategy
- NcclAllReduce
- OneDeviceStrategy
- ReduceOp
- ReductionToOneDevice
- ReplicaContext
- Server
- Strategy
- StrategyExtended
-
- cluster_resolver.Overview
- cluster_resolver.ClusterResolver
- cluster_resolver.GCEClusterResolver
- cluster_resolver.KubernetesClusterResolver
- cluster_resolver.SimpleClusterResolver
- cluster_resolver.SlurmClusterResolver
- cluster_resolver.TFConfigClusterResolver
- cluster_resolver.TPUClusterResolver
- cluster_resolver.UnionResolver
- Overview
- AbortedError
- AlreadyExistsError
- CancelledError
- DataLossError
- DeadlineExceededError
- FailedPreconditionError
- InternalError
- InvalidArgumentError
- NotFoundError
- OpError
- OutOfRangeError
- PermissionDeniedError
- ResourceExhaustedError
- UnauthenticatedError
- UnavailableError
- UnimplementedError
- UnknownError
- Overview
- add_metrics
- BaselineClassifier
- BaselineEstimator
- BaselineRegressor
- BestExporter
- BinaryClassHead
- BoostedTreesClassifier
- BoostedTreesEstimator
- BoostedTreesRegressor
- CheckpointSaverHook
- CheckpointSaverListener
- classifier_parse_example_spec
- DNNClassifier
- DNNEstimator
- DNNLinearCombinedClassifier
- DNNLinearCombinedEstimator
- DNNLinearCombinedRegressor
- DNNRegressor
- Estimator
- EstimatorSpec
- EvalSpec
- Exporter
- FeedFnHook
- FinalExporter
- FinalOpsHook
- GlobalStepWaiterHook
- Head
- LatestExporter
- LinearClassifier
- LinearEstimator
- LinearRegressor
- LoggingTensorHook
- LogisticRegressionHead
- ModeKeys
- MultiClassHead
- MultiHead
- MultiLabelHead
- NanLossDuringTrainingError
- NanTensorHook
- PoissonRegressionHead
- ProfilerHook
- RegressionHead
- regressor_parse_example_spec
- RunConfig
- SecondOrStepTimer
- SessionRunArgs
- SessionRunContext
- SessionRunHook
- SessionRunValues
- StepCounterHook
- StopAtStepHook
- SummarySaverHook
- TrainSpec
- train_and_evaluate
- VocabInfo
- WarmStartSettings
-
- experimental.Overview
- experimental.build_raw_supervised_input_receiver_fn
- experimental.call_logit_fn
- experimental.InMemoryEvaluatorHook
- experimental.LinearSDCA
- experimental.make_early_stopping_hook
- experimental.make_stop_at_checkpoint_step_hook
- experimental.RNNClassifier
- experimental.RNNEstimator
- experimental.stop_if_higher_hook
- experimental.stop_if_lower_hook
- experimental.stop_if_no_decrease_hook
- experimental.stop_if_no_increase_hook
- Overview
- bucketized_column
- categorical_column_with_hash_bucket
- categorical_column_with_identity
- categorical_column_with_vocabulary_file
- categorical_column_with_vocabulary_list
- crossed_column
- embedding_column
- indicator_column
- make_parse_example_spec
- numeric_column
- sequence_categorical_column_with_hash_bucket
- sequence_categorical_column_with_identity
- sequence_categorical_column_with_vocabulary_file
- sequence_categorical_column_with_vocabulary_list
- sequence_numeric_column
- shared_embeddings
- weighted_categorical_column
- Overview
- adjust_brightness
- adjust_contrast
- adjust_gamma
- adjust_hue
- adjust_jpeg_quality
- adjust_saturation
- central_crop
- combined_non_max_suppression
- convert_image_dtype
- crop_and_resize
- crop_to_bounding_box
- draw_bounding_boxes
- encode_png
- extract_glimpse
- extract_patches
- flip_left_right
- flip_up_down
- grayscale_to_rgb
- hsv_to_rgb
- image_gradients
- non_max_suppression
- non_max_suppression_overlaps
- non_max_suppression_padded
- non_max_suppression_with_scores
- pad_to_bounding_box
- per_image_standardization
- psnr
- random_brightness
- random_contrast
- random_crop
- random_flip_left_right
- random_flip_up_down
- random_hue
- random_jpeg_quality
- random_saturation
- resize
- ResizeMethod
- resize_with_crop_or_pad
- resize_with_pad
- rgb_to_grayscale
- rgb_to_hsv
- rgb_to_yiq
- rgb_to_yuv
- rot90
- sample_distorted_bounding_box
- sobel_edges
- ssim
- ssim_multiscale
- total_variation
- transpose
- yiq_to_rgb
- yuv_to_rgb
- Overview
- decode_and_crop_jpeg
- decode_base64
- decode_bmp
- decode_compressed
- decode_csv
- decode_gif
- decode_image
- decode_jpeg
- decode_json_example
- decode_png
- decode_proto
- decode_raw
- deserialize_many_sparse
- encode_base64
- encode_jpeg
- encode_proto
- extract_jpeg_shape
- FixedLenFeature
- FixedLenSequenceFeature
- is_jpeg
- matching_files
- match_filenames_once
- parse_example
- parse_sequence_example
- parse_single_example
- parse_single_sequence_example
- parse_tensor
- read_file
- serialize_many_sparse
- serialize_sparse
- serialize_tensor
- SparseFeature
- TFRecordOptions
- TFRecordWriter
- VarLenFeature
- write_file
- write_graph
- Overview
- Input
- Model
- Sequential
-
- applications.Overview
- applications.DenseNet121
- applications.DenseNet169
- applications.DenseNet201
- applications.InceptionResNetV2
- applications.InceptionV3
- applications.MobileNet
- applications.MobileNetV2
- applications.NASNetLarge
- applications.NASNetMobile
- applications.ResNet101
- applications.ResNet101V2
- applications.ResNet152
- applications.ResNet152V2
- applications.ResNet50
- applications.ResNet50V2
- applications.VGG16
- applications.VGG19
- applications.Xception
- applications.densenet.Overview
- applications.densenet.decode_predictions
- applications.densenet.preprocess_input
- applications.imagenet_utils.Overview
- applications.imagenet_utils.decode_predictions
- applications.imagenet_utils.preprocess_input
- applications.inception_resnet_v2.Overview
- applications.inception_resnet_v2.decode_predictions
- applications.inception_resnet_v2.preprocess_input
- applications.inception_v3.Overview
- applications.inception_v3.decode_predictions
- applications.inception_v3.preprocess_input
- applications.mobilenet.Overview
- applications.mobilenet.decode_predictions
- applications.mobilenet.preprocess_input
- applications.mobilenet_v2.Overview
- applications.mobilenet_v2.decode_predictions
- applications.mobilenet_v2.preprocess_input
- applications.nasnet.Overview
- applications.nasnet.decode_predictions
- applications.nasnet.preprocess_input
- applications.resnet.Overview
- applications.resnet.decode_predictions
- applications.resnet.preprocess_input
- applications.resnet50.Overview
- applications.resnet_v2.Overview
- applications.resnet_v2.decode_predictions
- applications.resnet_v2.preprocess_input
- applications.vgg16.Overview
- applications.vgg16.decode_predictions
- applications.vgg16.preprocess_input
- applications.vgg19.Overview
- applications.vgg19.decode_predictions
- applications.vgg19.preprocess_input
- applications.xception.Overview
- applications.xception.decode_predictions
- applications.xception.preprocess_input
-
- backend.Overview
- backend.abs
- backend.all
- backend.any
- backend.arange
- backend.argmax
- backend.argmin
- backend.backend
- backend.batch_dot
- backend.batch_flatten
- backend.batch_get_value
- backend.batch_normalization
- backend.batch_set_value
- backend.bias_add
- backend.binary_crossentropy
- backend.cast
- backend.cast_to_floatx
- backend.categorical_crossentropy
- backend.clear_session
- backend.clip
- backend.concatenate
- backend.constant
- backend.conv1d
- backend.conv2d
- backend.conv2d_transpose
- backend.conv3d
- backend.cos
- backend.count_params
- backend.ctc_batch_cost
- backend.ctc_decode
- backend.ctc_label_dense_to_sparse
- backend.cumprod
- backend.cumsum
- backend.dot
- backend.dropout
- backend.dtype
- backend.elu
- backend.epsilon
- backend.equal
- backend.eval
- backend.exp
- backend.expand_dims
- backend.eye
- backend.flatten
- backend.floatx
- backend.foldl
- backend.foldr
- backend.function
- backend.gather
- backend.get_uid
- backend.get_value
- backend.gradients
- backend.greater
- backend.greater_equal
- backend.hard_sigmoid
- backend.image_data_format
- backend.int_shape
- backend.in_test_phase
- backend.in_top_k
- backend.in_train_phase
- backend.is_keras_tensor
- backend.is_sparse
- backend.l2_normalize
- backend.learning_phase
- backend.learning_phase_scope
- backend.less
- backend.less_equal
- backend.local_conv1d
- backend.local_conv2d
- backend.log
- backend.manual_variable_initialization
- backend.map_fn
- backend.max
- backend.maximum
- backend.mean
- backend.min
- backend.minimum
- backend.moving_average_update
- backend.name_scope
- backend.ndim
- backend.normalize_batch_in_training
- backend.not_equal
- backend.ones
- backend.ones_like
- backend.one_hot
- backend.permute_dimensions
- backend.placeholder
- backend.pool2d
- backend.pool3d
- backend.pow
- backend.print_tensor
- backend.prod
- backend.random_binomial
- backend.random_normal
- backend.random_normal_variable
- backend.random_uniform
- backend.random_uniform_variable
- backend.relu
- backend.repeat
- backend.repeat_elements
- backend.reset_uids
- backend.reshape
- backend.resize_images
- backend.resize_volumes
- backend.reverse
- backend.rnn
- backend.round
- backend.separable_conv2d
- backend.set_epsilon
- backend.set_floatx
- backend.set_image_data_format
- backend.set_learning_phase
- backend.set_value
- backend.shape
- backend.sigmoid
- backend.sign
- backend.sin
- backend.softmax
- backend.softplus
- backend.softsign
- backend.sparse_categorical_crossentropy
- backend.spatial_2d_padding
- backend.spatial_3d_padding
- backend.sqrt
- backend.square
- backend.squeeze
- backend.stack
- backend.std
- backend.stop_gradient
- backend.sum
- backend.switch
- backend.tanh
- backend.temporal_padding
- backend.tile
- backend.to_dense
- backend.transpose
- backend.truncated_normal
- backend.update
- backend.update_add
- backend.update_sub
- backend.var
- backend.variable
- backend.zeros
- backend.zeros_like
-
- callbacks.Overview
- callbacks.BaseLogger
- callbacks.Callback
- callbacks.CSVLogger
- callbacks.EarlyStopping
- callbacks.History
- callbacks.LambdaCallback
- callbacks.LearningRateScheduler
- callbacks.ModelCheckpoint
- callbacks.ProgbarLogger
- callbacks.ReduceLROnPlateau
- callbacks.RemoteMonitor
- callbacks.TensorBoard
- callbacks.TerminateOnNaN
-
- datasets.Overview
- datasets.boston_housing.Overview
- datasets.boston_housing.load_data
- datasets.cifar10.Overview
- datasets.cifar10.load_data
- datasets.cifar100.Overview
- datasets.cifar100.load_data
- datasets.fashion_mnist.Overview
- datasets.fashion_mnist.load_data
- datasets.imdb.Overview
- datasets.imdb.get_word_index
- datasets.imdb.load_data
- datasets.mnist.Overview
- datasets.mnist.load_data
- datasets.reuters.Overview
- datasets.reuters.get_word_index
- datasets.reuters.load_data
-
- experimental.Overview
- experimental.CosineDecay
- experimental.CosineDecayRestarts
- experimental.export_saved_model
- experimental.LinearCosineDecay
- experimental.LinearModel
- experimental.load_from_saved_model
- experimental.NoisyLinearCosineDecay
- experimental.PeepholeLSTMCell
- experimental.SequenceFeatures
- experimental.terminate_keras_multiprocessing_pools
- experimental.WideDeepModel
-
- initializers.Overview
- initializers.deserialize
- initializers.get
- initializers.GlorotNormal
- initializers.GlorotUniform
- initializers.he_normal
- initializers.he_uniform
- initializers.Identity
- initializers.Initializer
- initializers.lecun_normal
- initializers.lecun_uniform
- initializers.Orthogonal
- initializers.serialize
- initializers.TruncatedNormal
- initializers.VarianceScaling
-
- layers.Overview
- layers.AbstractRNNCell
- layers.Activation
- layers.ActivityRegularization
- layers.Add
- layers.AdditiveAttention
- layers.AlphaDropout
- layers.Attention
- layers.Average
- layers.AveragePooling1D
- layers.AveragePooling2D
- layers.AveragePooling3D
- layers.BatchNormalization
- layers.Bidirectional
- layers.Concatenate
- layers.Conv1D
- layers.Conv2D
- layers.Conv2DTranspose
- layers.Conv3D
- layers.Conv3DTranspose
- layers.ConvLSTM2D
- layers.Cropping1D
- layers.Cropping2D
- layers.Cropping3D
- layers.Dense
- layers.DenseFeatures
- layers.DepthwiseConv2D
- layers.deserialize
- layers.Dot
- layers.Dropout
- layers.ELU
- layers.Embedding
- layers.Flatten
- layers.GaussianDropout
- layers.GaussianNoise
- layers.GlobalAveragePooling1D
- layers.GlobalAveragePooling2D
- layers.GlobalAveragePooling3D
- layers.GlobalMaxPool1D
- layers.GlobalMaxPool2D
- layers.GlobalMaxPool3D
- layers.GRU
- layers.GRUCell
- layers.InputLayer
- layers.InputSpec
- layers.Lambda
- layers.Layer
- layers.LayerNormalization
- layers.LeakyReLU
- layers.LocallyConnected1D
- layers.LocallyConnected2D
- layers.LSTM
- layers.LSTMCell
- layers.Masking
- layers.Maximum
- layers.MaxPool1D
- layers.MaxPool2D
- layers.MaxPool3D
- layers.Minimum
- layers.Multiply
- layers.Permute
- layers.PReLU
- layers.ReLU
- layers.RepeatVector
- layers.Reshape
- layers.RNN
- layers.SeparableConv1D
- layers.SeparableConv2D
- layers.serialize
- layers.SimpleRNN
- layers.SimpleRNNCell
- layers.Softmax
- layers.SpatialDropout1D
- layers.SpatialDropout2D
- layers.SpatialDropout3D
- layers.StackedRNNCells
- layers.Subtract
- layers.ThresholdedReLU
- layers.TimeDistributed
- layers.UpSampling1D
- layers.UpSampling2D
- layers.UpSampling3D
- layers.Wrapper
- layers.ZeroPadding1D
- layers.ZeroPadding2D
- layers.ZeroPadding3D
-
- losses.Overview
- losses.BinaryCrossentropy
- losses.binary_crossentropy
- losses.CategoricalCrossentropy
- losses.CategoricalHinge
- losses.categorical_crossentropy
- losses.categorical_hinge
- losses.CosineSimilarity
- losses.cosine_similarity
- losses.deserialize
- losses.get
- losses.Hinge
- losses.Huber
- losses.KLD
- losses.KLDivergence
- losses.LogCosh
- losses.Loss
- losses.MAE
- losses.MAPE
- losses.MeanAbsoluteError
- losses.MeanAbsolutePercentageError
- losses.MeanSquaredError
- losses.MeanSquaredLogarithmicError
- losses.MSE
- losses.MSLE
- losses.Poisson
- losses.Reduction
- losses.serialize
- losses.SparseCategoricalCrossentropy
- losses.sparse_categorical_crossentropy
- losses.SquaredHinge
- losses.squared_hinge
-
- metrics.Overview
- metrics.Accuracy
- metrics.AUC
- metrics.BinaryAccuracy
- metrics.BinaryCrossentropy
- metrics.binary_accuracy
- metrics.CategoricalAccuracy
- metrics.CategoricalCrossentropy
- metrics.CategoricalHinge
- metrics.categorical_accuracy
- metrics.CosineSimilarity
- metrics.deserialize
- metrics.FalseNegatives
- metrics.FalsePositives
- metrics.get
- metrics.Hinge
- metrics.KLDivergence
- metrics.LogCoshError
- metrics.Mean
- metrics.MeanAbsoluteError
- metrics.MeanAbsolutePercentageError
- metrics.MeanIoU
- metrics.MeanRelativeError
- metrics.MeanSquaredError
- metrics.MeanSquaredLogarithmicError
- metrics.MeanTensor
- metrics.Metric
- metrics.Poisson
- metrics.Precision
- metrics.Recall
- metrics.RootMeanSquaredError
- metrics.SensitivityAtSpecificity
- metrics.serialize
- metrics.SparseCategoricalAccuracy
- metrics.SparseCategoricalCrossentropy
- metrics.SparseTopKCategoricalAccuracy
- metrics.sparse_categorical_accuracy
- metrics.sparse_top_k_categorical_accuracy
- metrics.SpecificityAtSensitivity
- metrics.SquaredHinge
- metrics.Sum
- metrics.TopKCategoricalAccuracy
- metrics.top_k_categorical_accuracy
- metrics.TrueNegatives
- metrics.TruePositives
-
- optimizers.Overview
- optimizers.Adadelta
- optimizers.Adagrad
- optimizers.Adam
- optimizers.Adamax
- optimizers.deserialize
- optimizers.Ftrl
- optimizers.get
- optimizers.Nadam
- optimizers.Optimizer
- optimizers.RMSprop
- optimizers.serialize
- optimizers.SGD
- optimizers.schedules.Overview
- optimizers.schedules.deserialize
- optimizers.schedules.ExponentialDecay
- optimizers.schedules.InverseTimeDecay
- optimizers.schedules.LearningRateSchedule
- optimizers.schedules.PiecewiseConstantDecay
- optimizers.schedules.PolynomialDecay
- optimizers.schedules.serialize
-
- preprocessing.Overview
- preprocessing.image.Overview
- preprocessing.image.apply_affine_transform
- preprocessing.image.apply_brightness_shift
- preprocessing.image.apply_channel_shift
- preprocessing.image.array_to_img
- preprocessing.image.DirectoryIterator
- preprocessing.image.ImageDataGenerator
- preprocessing.image.img_to_array
- preprocessing.image.Iterator
- preprocessing.image.load_img
- preprocessing.image.NumpyArrayIterator
- preprocessing.image.random_brightness
- preprocessing.image.random_channel_shift
- preprocessing.image.random_rotation
- preprocessing.image.random_shear
- preprocessing.image.random_shift
- preprocessing.image.random_zoom
- preprocessing.image.save_img
- preprocessing.sequence.Overview
- preprocessing.sequence.make_sampling_table
- preprocessing.sequence.pad_sequences
- preprocessing.sequence.skipgrams
- preprocessing.sequence.TimeseriesGenerator
- preprocessing.text.Overview
- preprocessing.text.hashing_trick
- preprocessing.text.one_hot
- preprocessing.text.text_to_word_sequence
- preprocessing.text.Tokenizer
-
- utils.Overview
- utils.convert_all_kernels_in_model
- utils.CustomObjectScope
- utils.custom_object_scope
- utils.deserialize_keras_object
- utils.GeneratorEnqueuer
- utils.get_custom_objects
- utils.get_file
- utils.get_source_inputs
- utils.HDF5Matrix
- utils.model_to_dot
- utils.multi_gpu_model
- utils.normalize
- utils.OrderedEnqueuer
- utils.plot_model
- utils.Progbar
- utils.Sequence
- utils.SequenceEnqueuer
- utils.serialize_keras_object
- utils.to_categorical
- Overview
- adjoint
- band_part
- cholesky
- cholesky_solve
- cross
- det
- diag
- diag_part
- eigh
- eigvalsh
- expm
- global_norm
- inv
- LinearOperator
- LinearOperatorAdjoint
- LinearOperatorBlockDiag
- LinearOperatorCirculant
- LinearOperatorCirculant2D
- LinearOperatorCirculant3D
- LinearOperatorComposition
- LinearOperatorDiag
- LinearOperatorFullMatrix
- LinearOperatorHouseholder
- LinearOperatorIdentity
- LinearOperatorInversion
- LinearOperatorKronecker
- LinearOperatorLowerTriangular
- LinearOperatorLowRankUpdate
- LinearOperatorScaledIdentity
- LinearOperatorToeplitz
- LinearOperatorZeros
- logdet
- logm
- lstsq
- lu
- matmul
- matrix_transpose
- matvec
- normalize
- qr
- set_diag
- slogdet
- solve
- sqrtm
- svd
- tensor_diag
- tensor_diag_part
- trace
- triangular_solve
- tridiagonal_matmul
- tridiagonal_solve
- Overview
- abs
- accumulate_n
- acos
- acosh
- add
- add_n
- angle
- argmax
- argmin
- asin
- asinh
- atan
- atan2
- atanh
- bessel_i0
- bessel_i0e
- bessel_i1
- bessel_i1e
- betainc
- bincount
- ceil
- confusion_matrix
- conj
- cos
- cosh
- count_nonzero
- cumprod
- cumsum
- cumulative_logsumexp
- digamma
- divide
- divide_no_nan
- equal
- erf
- erfc
- exp
- expm1
- floor
- floordiv
- floormod
- greater
- greater_equal
- igamma
- igammac
- imag
- invert_permutation
- in_top_k
- is_finite
- is_inf
- is_nan
- is_non_decreasing
- is_strictly_increasing
- l2_normalize
- lbeta
- less
- less_equal
- lgamma
- log
- log1p
- logical_and
- logical_not
- logical_or
- logical_xor
- log_sigmoid
- maximum
- minimum
- multiply
- multiply_no_nan
- negative
- nextafter
- not_equal
- polygamma
- polyval
- pow
- real
- reciprocal
- reciprocal_no_nan
- reduce_any
- reduce_euclidean_norm
- reduce_logsumexp
- reduce_max
- reduce_mean
- reduce_min
- reduce_prod
- reduce_std
- reduce_sum
- reduce_variance
- rint
- round
- rsqrt
- scalar_mul
- segment_max
- segment_mean
- segment_min
- segment_prod
- segment_sum
- sigmoid
- sign
- sin
- sinh
- softplus
- sqrt
- square
- squared_difference
- subtract
- tan
- tanh
- top_k
- truediv
- unsorted_segment_max
- unsorted_segment_mean
- unsorted_segment_min
- unsorted_segment_prod
- unsorted_segment_sqrt_n
- unsorted_segment_sum
- xdivy
- xlogy
- zero_fraction
- zeta
- Overview
- atrous_conv2d
- atrous_conv2d_transpose
- avg_pool
- avg_pool1d
- avg_pool2d
- avg_pool3d
- batch_normalization
- batch_norm_with_global_normalization
- bias_add
- collapse_repeated
- compute_accidental_hits
- compute_average_loss
- conv1d
- conv1d_transpose
- conv2d
- conv2d_transpose
- conv3d
- conv3d_transpose
- convolution
- conv_transpose
- crelu
- ctc_beam_search_decoder
- ctc_greedy_decoder
- ctc_loss
- ctc_unique_labels
- depthwise_conv2d
- depthwise_conv2d_backprop_filter
- depthwise_conv2d_backprop_input
- depth_to_space
- dilation2d
- dropout
- elu
- embedding_lookup
- embedding_lookup_sparse
- erosion2d
- fractional_avg_pool
- fractional_max_pool
- l2_loss
- leaky_relu
- local_response_normalization
- log_poisson_loss
- log_softmax
- max_pool
- max_pool1d
- max_pool2d
- max_pool3d
- max_pool_with_argmax
- moments
- nce_loss
- normalize_moments
- pool
- relu
- relu6
- RNNCellDeviceWrapper
- RNNCellDropoutWrapper
- RNNCellResidualWrapper
- safe_embedding_lookup_sparse
- sampled_softmax_loss
- scale_regularization_loss
- selu
- separable_conv2d
- sigmoid_cross_entropy_with_logits
- softmax
- softmax_cross_entropy_with_logits
- softsign
- space_to_depth
- sparse_softmax_cross_entropy_with_logits
- sufficient_statistics
- weighted_cross_entropy_with_logits
- weighted_moments
- with_space_to_batch
- Overview
- all_candidate_sampler
- categorical
- fixed_unigram_candidate_sampler
- gamma
- learned_unigram_candidate_sampler
- log_uniform_candidate_sampler
- normal
- poisson
- set_seed
- shuffle
- stateless_categorical
- stateless_normal
- stateless_truncated_normal
- stateless_uniform
- truncated_normal
- uniform
- uniform_candidate_sampler
- Overview
- as_string
- bytes_split
- format
- join
- length
- lower
- ngrams
- reduce_join
- regex_full_match
- regex_replace
- split
- strip
- substr
- to_hash_bucket
- to_hash_bucket_fast
- to_hash_bucket_strong
- to_number
- unicode_decode
- unicode_decode_with_offsets
- unicode_encode
- unicode_script
- unicode_split
- unicode_split_with_offsets
- unicode_transcode
- unsorted_segment_join
- upper