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CIFAR10 small images classification dataset.
Functions
load_data(...): Loads CIFAR10 dataset.
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
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- as_str_any
- as_text
- dimension_at_index
- dimension_value
- forward_compatibility_horizon
- forward_compatible
- path_to_str
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- v1.Overview
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- v1.clip_by_average_norm
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- v1.ConditionalAccumulatorBase
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- v1.convert_to_tensor_or_sparse_tensor
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- v1.count_up_to
- v1.create_partitioned_variables
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- v1.delete_session_tensor
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- v1.disable_tensor_equality
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- 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
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- v1.get_variable_scope
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- v1.global_variables_initializer
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- v1.GPUOptions.ExperimentalGPUOptions.Experimental
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- v1.pad
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- 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
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- v1.autograph.to_graph
- v1.autograph.experimental.Overview
- v1.bitwise.Overview
- v1.Overview
- v1.config.Overview
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- 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
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- v1.distribute.StrategyExtended
- v1.distribute.cluster_resolver.Overview
- v1.distribute.experimental.Overview
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- v1.distribute.experimental.ParameterServerStrategy
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- v1.distributions.Overview
- v1.distributions.Bernoulli
- v1.distributions.Beta
- v1.distributions.Categorical
- v1.distributions.Dirichlet
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- v1.distributions.Distribution
- v1.distributions.Exponential
- v1.distributions.Gamma
- v1.distributions.kl_divergence
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- v1.distributions.Multinomial
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- v1.lite.constants.Overview
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- v1.lookup.Overview
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- v1.metrics.mean
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- v1.metrics.precision_at_k
- v1.metrics.precision_at_thresholds
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- v1.metrics.recall_at_k
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- v1.metrics.sensitivity_at_specificity
- v1.metrics.sparse_average_precision_at_k
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- v1.metrics.true_negatives
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- v1.nest.Overview
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- v1.nn.avg_pool
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- v1.nn.conv2d_transpose
- v1.nn.conv3d
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- v1.nn.depthwise_conv2d
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- v1.nn.dilation2d
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- v1.nn.relu_layer
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- v1.nn.softmax_cross_entropy_with_logits_v2
- v1.nn.sparse_softmax_cross_entropy_with_logits
- v1.nn.static_bidirectional_rnn
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- v1.nn.xw_plus_b
- v1.nn.rnn_cell.Overview
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- 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
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- v1.nn.rnn_cell.RNNCell
- v1.profiler.Overview
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- v1.python_io.Overview
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- v1.saved_model.builder.Overview
- v1.saved_model.constants.Overview
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- 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
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- v1.sparse.Overview
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- v1.strings.Overview
- v1.strings.length
- v1.strings.split
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- v1.summary.Overview
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- 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
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- v1.test.get_temp_dir
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- 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
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- 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
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- v1.train.SaverDef
- v1.train.Scaffold
- v1.train.sdca_fprint
- v1.train.sdca_optimizer
- v1.train.sdca_shrink_l1
- v1.train.SessionCreator
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- v1.train.shuffle_batch
- v1.train.shuffle_batch_join
- v1.train.SingularMonitoredSession
- v1.train.slice_input_producer
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- v1.train.string_input_producer
- v1.train.summary_iterator
- v1.train.Supervisor
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- 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
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- v2.keras.applications.vgg16.Overview
- v2.keras.applications.vgg19.Overview
- v2.keras.applications.xception.Overview
- v2.keras.backend.Overview
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- v2.keras.datasets.Overview
- v2.keras.datasets.boston_housing.Overview
- v2.keras.datasets.cifar10.Overview
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- 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
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- v2.keras.wrappers.Overview
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- v2.lite.experimental.Overview
- v2.lookup.Overview
- v2.lookup.experimental.Overview
- v2.math.Overview
- v2.nest.Overview
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- 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
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- Overview
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-
- experimental.Overview
- experimental.get_device_policy
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- experimental.get_synchronous_execution
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- experimental.get_visible_devices
- experimental.list_logical_devices
- experimental.list_physical_devices
- experimental.set_device_policy
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- experimental.set_visible_devices
- experimental.VirtualDeviceConfiguration
- Overview
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- DatasetSpec
- FixedLengthRecordDataset
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-
- experimental.Overview
- experimental.bucket_by_sequence_length
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- 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
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- 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
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- Overview
- Assert
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- assert_non_negative
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- 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
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- ReplicaContext
- Server
- Strategy
- StrategyExtended
-
- cluster_resolver.Overview
- cluster_resolver.ClusterResolver
- cluster_resolver.GCEClusterResolver
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- Overview
- AbortedError
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- Overview
- add_metrics
- BaselineClassifier
- BaselineEstimator
- BaselineRegressor
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- 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
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- deserialize_many_sparse
- encode_base64
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- FixedLenFeature
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- is_jpeg
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- parse_example
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- Overview
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- applications.Overview
- applications.DenseNet121
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- 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
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- backend.cumprod
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- backend.hard_sigmoid
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- backend.in_test_phase
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- backend.less
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- backend.log
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- backend.placeholder
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- backend.relu
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- backend.reset_uids
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- backend.set_epsilon
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- backend.shape
- backend.sigmoid
- backend.sign
- backend.sin
- backend.softmax
- backend.softplus
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- backend.sparse_categorical_crossentropy
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- backend.sqrt
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- backend.squeeze
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- backend.std
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- backend.sum
- backend.switch
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- callbacks.Overview
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-
- 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
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- experimental.Overview
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- experimental.export_saved_model
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- experimental.NoisyLinearCosineDecay
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- initializers.Overview
- initializers.deserialize
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- initializers.GlorotNormal
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- layers.Overview
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- layers.deserialize
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- layers.Lambda
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- layers.LSTM
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- layers.serialize
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- layers.Wrapper
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- losses.Overview
- losses.BinaryCrossentropy
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- losses.deserialize
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- losses.Hinge
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- losses.MSE
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- losses.Poisson
- losses.Reduction
- losses.serialize
- losses.SparseCategoricalCrossentropy
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- losses.SquaredHinge
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-
- metrics.Overview
- metrics.Accuracy
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- metrics.binary_accuracy
- metrics.CategoricalAccuracy
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- metrics.CategoricalHinge
- metrics.categorical_accuracy
- metrics.CosineSimilarity
- metrics.deserialize
- metrics.FalseNegatives
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- metrics.get
- metrics.Hinge
- metrics.KLDivergence
- metrics.LogCoshError
- metrics.Mean
- metrics.MeanAbsoluteError
- metrics.MeanAbsolutePercentageError
- metrics.MeanIoU
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- metrics.MeanSquaredLogarithmicError
- metrics.MeanTensor
- metrics.Metric
- metrics.Poisson
- metrics.Precision
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- 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
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- optimizers.Overview
- optimizers.Adadelta
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- optimizers.deserialize
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- 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
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- 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
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- preprocessing.text.text_to_word_sequence
- preprocessing.text.Tokenizer
-
- utils.Overview
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- Overview
- adjoint
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- Overview
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- Overview
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- Overview
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- Overview
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- upper