Install
Learn
Introduction
New to TensorFlow?
Tutorials
Learn how to use TensorFlow with end-to-end examples
Guide
Learn framework concepts and components
Learn ML
Educational resources to master your path with TensorFlow
API
TensorFlow (v2.16.1)
Versions…
TensorFlow.js
TensorFlow Lite
TFX
Ecosystem
LIBRARIES
TensorFlow.js
Develop web ML applications in JavaScript
TensorFlow Lite
Deploy ML on mobile, microcontrollers and other edge devices
TFX
Build production ML pipelines
All libraries
Create advanced models and extend TensorFlow
RESOURCES
Models & datasets
Pre-trained models and datasets built by Google and the community
Tools
Tools to support and accelerate TensorFlow workflows
Responsible AI
Resources for every stage of the ML workflow
Recommendation systems
Build recommendation systems with open source tools
Community
Groups
User groups, interest groups and mailing lists
Contribute
Guide for contributing to code and documentation
Blog
Stay up to date with all things TensorFlow
Forum
Discussion platform for the TensorFlow community
Why TensorFlow
About
Case studies
/
English
中文 – 简体
GitHub
TensorFlow v1.15.0
Overview
Python
C++
Java
Install
Learn
More
API
More
Overview
Python
C++
Java
Ecosystem
More
Community
More
Why TensorFlow
More
GitHub
Overview
All Symbols
Python v1.15.0
tf
Overview
add_check_numerics_ops
add_to_collection
add_to_collections
AggregationMethod
all_variables
argsort
arg_max
arg_min
assert_variables_initialized
assign
assign_add
assign_sub
AttrValue
AttrValue.ListValue
batch_gather
batch_scatter_update
batch_to_space
batch_to_space_nd
bitcast
boolean_mask
broadcast_dynamic_shape
broadcast_static_shape
broadcast_to
case
cast
clip_by_average_norm
clip_by_global_norm
clip_by_norm
clip_by_value
colocate_with
concat
cond
ConditionalAccumulator
ConditionalAccumulatorBase
ConfigProto
ConfigProto.DeviceCountEntry
ConfigProto.Experimental
constant
container
control_dependencies
control_flow_v2_enabled
convert_to_tensor
convert_to_tensor_or_indexed_slices
convert_to_tensor_or_sparse_tensor
count_up_to
create_partitioned_variables
CriticalSection
custom_gradient
decode_raw
delete_session_tensor
device
DeviceSpec
Dimension
disable_control_flow_v2
disable_eager_execution
disable_resource_variables
disable_tensor_equality
disable_v2_behavior
disable_v2_tensorshape
div
dynamic_partition
dynamic_stitch
edit_distance
einsum
enable_control_flow_v2
enable_eager_execution
enable_resource_variables
enable_tensor_equality
enable_v2_behavior
enable_v2_tensorshape
ensure_shape
Event
executing_eagerly
expand_dims
extract_volume_patches
eye
fill
fingerprint
FixedLengthRecordReader
fixed_size_partitioner
floor_div
foldl
foldr
function
gather
gather_nd
get_collection
get_collection_ref
get_default_graph
get_default_session
get_local_variable
get_logger
get_session_handle
get_session_tensor
get_static_value
get_variable
get_variable_scope
global_variables
glorot_normal_initializer
glorot_uniform_initializer
GPUOptions
GPUOptions.Experimental
GPUOptions.Experimental.VirtualDevices
gradients
GradientTape
grad_pass_through
Graph
GraphDef
GraphKeys
GraphOptions
group
guarantee_const
hessians
HistogramProto
histogram_fixed_width
histogram_fixed_width_bins
identity
IdentityReader
identity_n
IndexedSlices
IndexedSlicesSpec
initialize_all_tables
initialize_all_variables
initialize_local_variables
initialize_variables
init_scope
InteractiveSession
is_tensor
is_variable_initialized
linspace
LMDBReader
load_file_system_library
load_library
load_op_library
local_variables
LogMessage
make_ndarray
make_template
make_tensor_proto
map_fn
meshgrid
MetaGraphDef
MetaGraphDef.CollectionDefEntry
MetaGraphDef.MetaInfoDef
MetaGraphDef.SignatureDefEntry
min_max_variable_partitioner
model_variables
Module
moving_average_variables
NameAttrList
NameAttrList.AttrEntry
name_scope
NodeDef
NodeDef.AttrEntry
NodeDef.ExperimentalDebugInfo
nondifferentiable_batch_function
norm
no_gradient
no_op
no_regularizer
numpy_function
ones
ones_like
one_hot
Operation
OptimizerOptions
OptionalSpec
op_scope
pad
parallel_stack
placeholder
placeholder_with_default
Print
print
py_func
py_function
quantize_v2
RaggedTensor
RaggedTensorSpec
random_normal_initializer
random_uniform_initializer
range
rank
ReaderBase
realdiv
recompute_grad
RegisterGradient
register_tensor_conversion_function
repeat
report_uninitialized_variables
required_space_to_batch_paddings
reset_default_graph
reshape
resource_variables_enabled
reverse
reverse_sequence
roll
RunMetadata
RunMetadata.FunctionGraphs
RunOptions
RunOptions.Experimental
scan
scatter_add
scatter_div
scatter_max
scatter_min
scatter_mul
scatter_nd
scatter_nd_add
scatter_nd_sub
scatter_nd_update
scatter_sub
scatter_update
searchsorted
sequence_mask
Session
SessionLog
setdiff1d
shape
shape_n
size
slice
sort
space_to_batch_nd
SparseTensorSpec
SparseTensorValue
sparse_matmul
sparse_to_dense
split
squeeze
stack
stop_gradient
strided_slice
string_split
substr
Summary
SummaryMetadata
SummaryMetadata.PluginData
switch_case
Tensor
TensorArray
TensorArraySpec
tensordot
TensorInfo
TensorInfo.CompositeTensor
TensorInfo.CooSparse
TensorShape
TensorSpec
tensor_scatter_nd_add
tensor_scatter_nd_sub
tensor_scatter_nd_update
TextLineReader
TFRecordReader
tile
timestamp
to_bfloat16
to_complex128
to_complex64
to_double
to_float
to_int32
to_int64
trainable_variables
transpose
truncatediv
truncatemod
tuple
TypeSpec
UnconnectedGradients
unique
unique_with_counts
unravel_index
unstack
Variable
Variable.SaveSliceInfo
VariableAggregation
VariableScope
VariableSynchronization
variable_axis_size_partitioner
variable_creator_scope
variable_op_scope
variable_scope
vectorized_map
where
where_v2
while_loop
WholeFileReader
wrap_function
zeros
zeros_initializer
zeros_like
tf.app
Overview
run
tf.audio
Overview
decode_wav
encode_wav
tf.autograph
Overview
set_verbosity
to_code
to_graph
trace
experimental
Overview
do_not_convert
Feature
tf.bitwise
Overview
bitwise_and
bitwise_or
bitwise_xor
invert
left_shift
right_shift
tf.compat
Overview
as_bytes
as_str_any
as_text
dimension_at_index
dimension_value
forward_compatibility_horizon
forward_compatible
path_to_str
v1
Overview
app
Overview
audio
Overview
autograph
Overview
experimental
Overview
bitwise
Overview
compat
Overview
config
Overview
experimental
Overview
optimizer
Overview
threading
Overview
data
Overview
experimental
Overview
debugging
Overview
distribute
Overview
cluster_resolver
Overview
experimental
Overview
distributions
Overview
dtypes
Overview
errors
Overview
experimental
Overview
feature_column
Overview
gfile
Overview
graph_util
Overview
image
Overview
initializers
Overview
io
Overview
gfile
Overview
layers
Overview
experimental
Overview
linalg
Overview
lite
Overview
constants
Overview
experimental
Overview
nn
Overview
logging
Overview
lookup
Overview
experimental
Overview
losses
Overview
manip
Overview
math
Overview
metrics
Overview
nest
Overview
nn
Overview
rnn_cell
Overview
profiler
Overview
python_io
Overview
quantization
Overview
queue
Overview
ragged
Overview
random
Overview
experimental
Overview
raw_ops
Overview
resource_loader
Overview
saved_model
Overview
builder
Overview
constants
Overview
experimental
Overview
loader
Overview
main_op
Overview
signature_constants
Overview
signature_def_utils
Overview
tag_constants
Overview
utils
Overview
sets
Overview
signal
Overview
sparse
Overview
spectral
Overview
strings
Overview
summary
Overview
sysconfig
Overview
test
Overview
tpu
Overview
experimental
Overview
train
Overview
experimental
Overview
queue_runner
Overview
user_ops
Overview
version
Overview
xla
Overview
experimental
Overview
v2
Overview
argmax
argmin
assert_equal
assert_greater
assert_less
assert_rank
batch_to_space
boolean_mask
case
cond
constant
convert_to_tensor
device
DeviceSpec
expand_dims
gather
gather_nd
gradients
hessians
name_scope
norm
ones_like
pad
reduce_all
reduce_any
reduce_logsumexp
reduce_max
reduce_mean
reduce_min
reduce_prod
reduce_sum
reverse_sequence
scalar_mul
shape
size
space_to_batch
squeeze
transpose
tuple
Variable
VariableAggregation
variable_creator_scope
while_loop
zeros_like
audio
Overview
autograph
Overview
to_code
to_graph
experimental
Overview
bitwise
Overview
compat
Overview
config
Overview
experimental
Overview
optimizer
Overview
threading
Overview
data
Overview
Dataset
FixedLengthRecordDataset
TextLineDataset
TFRecordDataset
experimental
Overview
choose_from_datasets
Counter
CsvDataset
make_batched_features_dataset
make_csv_dataset
RandomDataset
sample_from_datasets
SqlDataset
StatsAggregator
debugging
Overview
assert_all_finite
assert_greater_equal
assert_integer
assert_less_equal
assert_near
assert_negative
assert_none_equal
assert_non_negative
assert_non_positive
assert_positive
assert_rank_at_least
assert_rank_in
assert_scalar
assert_shapes
assert_type
distribute
Overview
MirroredStrategy
OneDeviceStrategy
Strategy
StrategyExtended
cluster_resolver
Overview
experimental
Overview
CentralStorageStrategy
MultiWorkerMirroredStrategy
ParameterServerStrategy
TPUStrategy
dtypes
Overview
errors
Overview
estimator
Overview
BaselineClassifier
BaselineEstimator
BaselineRegressor
classifier_parse_example_spec
DNNClassifier
DNNEstimator
DNNLinearCombinedClassifier
DNNLinearCombinedEstimator
DNNLinearCombinedRegressor
DNNRegressor
Estimator
LinearClassifier
LinearEstimator
LinearRegressor
regressor_parse_example_spec
experimental
Overview
RNNClassifier
RNNEstimator
export
Overview
experimental
Overview
feature_column
Overview
categorical_column_with_vocabulary_file
make_parse_example_spec
shared_embeddings
graph_util
Overview
image
Overview
crop_and_resize
draw_bounding_boxes
extract_glimpse
resize
ResizeMethod
resize_with_pad
sample_distorted_bounding_box
io
Overview
decode_csv
decode_raw
parse_example
parse_single_example
serialize_many_sparse
serialize_sparse
gfile
Overview
keras
Overview
activations
Overview
applications
Overview
densenet
Overview
imagenet_utils
Overview
inception_resnet_v2
Overview
inception_v3
Overview
mobilenet
Overview
mobilenet_v2
Overview
nasnet
Overview
resnet
Overview
resnet50
Overview
resnet_v2
Overview
vgg16
Overview
vgg19
Overview
xception
Overview
backend
Overview
name_scope
callbacks
Overview
TensorBoard
constraints
Overview
datasets
Overview
boston_housing
Overview
cifar10
Overview
cifar100
Overview
fashion_mnist
Overview
imdb
Overview
mnist
Overview
reuters
Overview
estimator
Overview
model_to_estimator
experimental
Overview
initializers
Overview
Constant
GlorotNormal
GlorotUniform
he_normal
he_uniform
Identity
Initializer
lecun_normal
lecun_uniform
Ones
Orthogonal
RandomNormal
RandomUniform
TruncatedNormal
VarianceScaling
Zeros
layers
Overview
BatchNormalization
DenseFeatures
GRU
GRUCell
LSTM
LSTMCell
losses
Overview
Reduction
metrics
Overview
mixed_precision
Overview
experimental
Overview
models
Overview
optimizers
Overview
schedules
Overview
preprocessing
Overview
image
Overview
sequence
Overview
text
Overview
regularizers
Overview
utils
Overview
wrappers
Overview
scikit_learn
Overview
linalg
Overview
l2_normalize
lite
Overview
TFLiteConverter
experimental
Overview
lookup
Overview
StaticHashTable
StaticVocabularyTable
experimental
Overview
math
Overview
bincount
confusion_matrix
count_nonzero
in_top_k
log_softmax
softmax
nest
Overview
nn
Overview
avg_pool2d
batch_norm_with_global_normalization
conv1d
conv2d
conv2d_transpose
conv3d
conv3d_transpose
convolution
crelu
depthwise_conv2d
depth_to_space
dilation2d
dropout
embedding_lookup
embedding_lookup_sparse
erosion2d
fractional_avg_pool
fractional_max_pool
max_pool_with_argmax
moments
nce_loss
pool
RNNCellDeviceWrapper
RNNCellDropoutWrapper
RNNCellResidualWrapper
safe_embedding_lookup_sparse
sampled_softmax_loss
separable_conv2d
sigmoid_cross_entropy_with_logits
softmax_cross_entropy_with_logits
space_to_depth
sparse_softmax_cross_entropy_with_logits
sufficient_statistics
weighted_cross_entropy_with_logits
weighted_moments
quantization
Overview
queue
Overview
ragged
Overview
random
Overview
poisson
set_seed
experimental
Overview
raw_ops
Overview
saved_model
Overview
contains_saved_model
sets
Overview
signal
Overview
sparse
Overview
add
concat
reduce_max
reduce_sum
segment_mean
segment_sqrt_n
segment_sum
split
strings
Overview
length
reduce_join
split
substr
to_hash_bucket
to_number
summary
Overview
audio
create_file_writer
create_noop_writer
flush
histogram
image
record_if
scalar
SummaryWriter
text
trace_export
trace_off
trace_on
write
experimental
Overview
get_step
set_step
summary_scope
write_raw_pb
sysconfig
Overview
test
Overview
assert_equal_graph_def
compute_gradient
tpu
Overview
experimental
Overview
train
Overview
Checkpoint
experimental
Overview
disable_mixed_precision_graph_rewrite
enable_mixed_precision_graph_rewrite
version
Overview
xla
Overview
experimental
Overview
tf.config
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
get_device_policy
get_memory_growth
get_synchronous_execution
get_virtual_device_configuration
get_visible_devices
list_logical_devices
list_physical_devices
set_device_policy
set_memory_growth
set_synchronous_execution
set_virtual_device_configuration
set_visible_devices
VirtualDeviceConfiguration
optimizer
Overview
get_experimental_options
get_jit
set_experimental_options
set_jit
threading
Overview
get_inter_op_parallelism_threads
get_intra_op_parallelism_threads
set_inter_op_parallelism_threads
set_intra_op_parallelism_threads
tf.contrib
Overview
autograph
Overview
AutoGraphError
ConversionOptions
convert
converted_call
set_element_type
stack
StackTraceMapper
batching
Overview
bayesflow
Overview
monte_carlo
Overview
expectation
expectation_importance_sampler
expectation_importance_sampler_logspace
checkpoint
Overview
capture_dependencies
Checkpointable
CheckpointableBase
CheckpointableObjectGraph
CheckpointableObjectGraph.TrackableObject
CheckpointableObjectGraph.TrackableObject.ObjectReference
CheckpointableObjectGraph.TrackableObject.SerializedTensor
CheckpointableObjectGraph.TrackableObject.SlotVariableReference
dot_graph_from_checkpoint
List
list_objects
Mapping
NoDependency
NumpyState
object_metadata
split_dependency
UniqueNameTracker
cloud
Overview
BigQueryReader
BigtableClient
BigtableTable
BlockCacheParams
ConfigureGcsHook
configure_colab_session
configure_gcs
cluster_resolver
Overview
compiler
Overview
constrained_optimization
Overview
AdditiveExternalRegretOptimizer
AdditiveSwapRegretOptimizer
ConstrainedMinimizationProblem
ConstrainedOptimizer
find_best_candidate_distribution
find_best_candidate_index
MultiplicativeSwapRegretOptimizer
copy_graph
Overview
copy_op_to_graph
copy_variable_to_graph
get_copied_op
crf
Overview
CrfDecodeBackwardRnnCell
CrfDecodeForwardRnnCell
CrfForwardRnnCell
crf_binary_score
crf_decode
crf_log_likelihood
crf_log_norm
crf_multitag_sequence_score
crf_sequence_score
crf_unary_score
viterbi_decode
cudnn_rnn
Overview
CudnnCompatibleGRUCell
CudnnCompatibleLSTMCell
CudnnGRU
CudnnGRUSaveable
CudnnLSTM
CudnnLSTMSaveable
CudnnParamsFormatConverterGRU
CudnnParamsFormatConverterLSTM
CudnnParamsFormatConverterRelu
CudnnParamsFormatConverterTanh
CudnnRNNRelu
CudnnRNNReluSaveable
CudnnRNNTanh
CudnnRNNTanhSaveable
data
Overview
assert_element_shape
batch_and_drop_remainder
bucket_by_sequence_length
CheckpointInputPipelineHook
choose_from_datasets
copy_to_device
Counter
CsvDataset
dense_to_sparse_batch
enumerate_dataset
get_single_element
group_by_reducer
group_by_window
ignore_errors
LMDBDataset
make_batched_features_dataset
make_csv_dataset
make_saveable_from_iterator
map_and_batch
padded_batch_and_drop_remainder
parallel_interleave
parse_example_dataset
prefetch_to_device
RandomDataset
read_batch_features
Reducer
reduce_dataset
rejection_resample
sample_from_datasets
scan
shuffle_and_repeat
sliding_window_batch
sloppy_interleave
SqlDataset
TFRecordWriter
unbatch
unique
deprecated
Overview
audio_summary
histogram_summary
image_summary
merge_all_summaries
merge_summary
scalar_summary
distribute
Overview
AllReduceCrossDeviceOps
CollectiveAllReduceStrategy
DistributeConfig
get_cross_replica_context
MirroredStrategy
Monitor
MultiWorkerAllReduce
ParameterServerStrategy
require_replica_context
run_standard_tensorflow_server
StandardInputStep
StandardSingleLossStep
Step
UpdateContext
distributions
Overview
assign_log_moving_mean_exp
assign_moving_mean_variance
Autoregressive
auto_correlation
BatchReshape
BetaWithSoftplusConcentration
Binomial
Cauchy
Chi2
Chi2WithAbsDf
ConditionalDistribution
ConditionalTransformedDistribution
Deterministic
estimator_head_distribution_regression
ExponentialWithSoftplusRate
ExpRelaxedOneHotCategorical
fill_triangular
fill_triangular_inverse
GammaWithSoftplusConcentrationRate
Geometric
HalfNormal
Independent
InverseGamma
InverseGammaWithSoftplusConcentrationRate
Kumaraswamy
LaplaceWithSoftplusScale
Logistic
matrix_diag_transform
Mixture
MixtureSameFamily
moving_mean_variance
MultivariateNormalDiag
MultivariateNormalDiagPlusLowRank
MultivariateNormalDiagWithSoftplusScale
MultivariateNormalFullCovariance
MultivariateNormalTriL
NegativeBinomial
NormalWithSoftplusScale
normal_conjugates_known_scale_posterior
normal_conjugates_known_scale_predictive
OneHotCategorical
percentile
Poisson
PoissonLogNormalQuadratureCompound
quadrature_scheme_lognormal_gauss_hermite
quadrature_scheme_lognormal_quantiles
quadrature_scheme_softmaxnormal_gauss_hermite
quadrature_scheme_softmaxnormal_quantiles
QuantizedDistribution
reduce_weighted_logsumexp
RelaxedBernoulli
RelaxedOneHotCategorical
SeedStream
SinhArcsinh
softplus_inverse
StudentTWithAbsDfSoftplusScale
TransformedDistribution
tridiag
VectorDeterministic
VectorDiffeomixture
VectorExponentialDiag
VectorLaplaceDiag
VectorSinhArcsinhDiag
WishartCholesky
WishartFull
bijectors
Overview
AbsoluteValue
Affine
AffineLinearOperator
AffineScalar
BatchNormalization
Bijector
Chain
CholeskyOuterProduct
ConditionalBijector
Exp
FillTriangular
Gumbel
Identity
Inline
Invert
Kumaraswamy
MaskedAutoregressiveFlow
masked_autoregressive_default_template
masked_dense
MatrixInverseTriL
Ordered
Permute
PowerTransform
RealNVP
real_nvp_default_template
Reshape
ScaleTriL
Sigmoid
SinhArcsinh
SoftmaxCentered
Softplus
Softsign
Square
TransformDiagonal
eager
Overview
add_execution_callback
async_clear_error
async_wait
clear_execution_callbacks
defun
EagerVariableStore
enable_remote_eager_execution
errstate
ExecutionCallback
execution_mode
get_optimizer_variables
gradients_function
implicit_gradients
implicit_value_and_gradients
inf_callback
inf_nan_callback
Iterator
make_template
nan_callback
Network
num_gpus
restore_network_checkpoint
restore_variables_on_create
run
run_all_tests_in_graph_and_eager_modes
run_test_in_graph_and_eager_modes
Saver
save_network_checkpoint
Sequential
seterr
set_execution_mode
set_server_def
value_and_gradients_function
Variable
metrics
Overview
Accuracy
BinaryAccuracy
CategoricalAccuracy
Mean
Metric
SparseAccuracy
estimator
Overview
add_metrics
binary_classification_head
boosted_trees_classifier_train_in_memory
boosted_trees_regressor_train_in_memory
build_raw_supervised_input_receiver_fn
build_supervised_input_receiver_fn_from_input_fn
call_logit_fn
clip_gradients_by_norm
DNNClassifierWithLayerAnnotations
DNNRegressorWithLayerAnnotations
dnn_logit_fn_builder
export_all_saved_models
export_saved_model_for_mode
forward_features
linear_logit_fn_builder
logistic_regression_head
multi_class_head
multi_head
multi_label_head
poisson_regression_head
regression_head
replicate_model_fn
RNNClassifier
RNNEstimator
SavedModelEstimator
TowerOptimizer
factorization
Overview
GMM
gmm
GmmAlgorithm
KMeans
KMeansClustering
WALSMatrixFactorization
WALSModel
feature_column
Overview
sequence_categorical_column_with_hash_bucket
sequence_categorical_column_with_identity
sequence_categorical_column_with_vocabulary_file
sequence_categorical_column_with_vocabulary_list
sequence_input_layer
sequence_numeric_column
ffmpeg
Overview
decode_audio
decode_video
encode_audio
framework
Overview
add_arg_scope
add_model_variable
arg_scope
arg_scoped_arguments
assert_global_step
assert_or_get_global_step
assert_scalar_int
assign_from_checkpoint
assign_from_checkpoint_fn
assign_from_values
assign_from_values_fn
BoundedTensorSpec
convolutional_delta_orthogonal
convolutional_orthogonal_1d
convolutional_orthogonal_2d
convolutional_orthogonal_3d
create_global_step
current_arg_scope
deprecated
deprecated_args
deprecated_arg_values
filter_variables
fuse_op
get_global_step
get_graph_from_inputs
get_local_variables
get_model_variables
get_name_scope
get_or_create_global_step
get_placeholders
get_trainable_variables
get_unique_variable
get_variables
get_variables_by_name
get_variables_by_suffix
get_variables_to_restore
get_variable_full_name
global_variable
has_arg_scope
init_from_checkpoint
list_variables
load_and_remap_matrix_initializer
load_checkpoint
load_embedding_initializer
load_linear_multiclass_bias_initializer
load_variable
load_variable_slot_initializer
local_variable
model_variable
prepend_name_scope
py_func
RecordInput
reduce_sum_n
remove_squeezable_dimensions
smart_case
smart_cond
smart_constant_value
strip_name_scope
variable
VariableDeviceChooser
with_same_shape
with_shape
zero_initializer
nest
Overview
assert_shallow_structure
flatten_dict_items
flatten_up_to
flatten_with_joined_string_paths
flatten_with_tuple_paths
flatten_with_tuple_paths_up_to
get_traverse_shallow_structure
is_sequence
is_sequence_or_composite
map_structure_up_to
map_structure_with_paths
map_structure_with_tuple_paths
map_structure_with_tuple_paths_up_to
yield_flat_paths
graph_editor
Overview
add_control_inputs
assign_renamed_collections_handler
bypass
can_be_regex
check_cios
compute_boundary_ts
connect
ControlOutputs
copy
copy_op_handler
copy_with_input_replacements
detach
detach_control_inputs
detach_control_outputs
detach_inputs
detach_outputs
filter_ops
filter_ops_from_regex
filter_ts
filter_ts_from_regex
get_backward_walk_ops
get_consuming_ops
get_forward_walk_ops
get_generating_ops
get_name_scope_ops
get_ops_ios
get_tensors
get_walks_intersection_ops
get_walks_union_ops
get_within_boundary_ops
graph_replace
keep_t_if_possible_handler
make_list_of_op
make_list_of_t
make_placeholder_from_dtype_and_shape
make_placeholder_from_tensor
make_regex
make_view
make_view_from_scope
placeholder_name
remove_control_inputs
replace_t_with_placeholder_handler
reroute_inputs
reroute_ios
reroute_outputs
reroute_ts
select_ops
select_ops_and_ts
select_ts
SubGraphView
swap_inputs
swap_ios
swap_outputs
swap_ts
Transformer
TransformerInfo
transform_op_if_inside_handler
edit
Overview
reroute
Overview
select
Overview
subgraph
Overview
transform
Overview
util
Overview
grid_rnn
Overview
image
Overview
angles_to_projective_transforms
bipartite_match
compose_transforms
connected_components
dense_image_warp
flat_transforms_to_matrices
interpolate_spline
matrices_to_flat_transforms
rotate
single_image_random_dot_stereograms
sparse_image_warp
transform
translate
translations_to_projective_transforms
input_pipeline
Overview
obtain_next
integrate
Overview
odeint
odeint_fixed
keras
Overview
kernel_methods
Overview
KernelLinearClassifier
RandomFourierFeatureMapper
sparse_multiclass_hinge_loss
labeled_tensor
Overview
layers
Overview
apply_regularization
avg_pool2d
avg_pool3d
batch_norm
bias_add
bow_encoder
bucketized_column
check_feature_columns
conv1d
conv2d
conv2d_in_plane
conv2d_transpose
conv3d
conv3d_transpose
convolution
create_feature_spec_for_parsing
crossed_column
dense_to_sparse
dropout
elu
embedding_column
embedding_lookup_unique
embed_sequence
flatten
fully_connected
GDN
gdn
group_norm
images_to_sequence
infer_real_valued_columns
input_from_feature_columns
instance_norm
joint_weighted_sum_from_feature_columns
l1_l2_regularizer
l1_regularizer
l2_regularizer
layer_norm
legacy_fully_connected
legacy_linear
legacy_relu
linear
make_place_holder_tensors_for_base_features
maxout
max_pool2d
max_pool3d
multi_class_target
one_hot_column
one_hot_encoding
optimize_loss
parse_feature_columns_from_examples
parse_feature_columns_from_sequence_examples
real_valued_column
recompute_grad
regression_target
relu
relu6
repeat
RevBlock
rev_block
safe_embedding_lookup_sparse
scale_gradient
scattered_embedding_column
separable_conv2d
sequence_input_from_feature_columns
sequence_to_images
shared_embedding_columns
softmax
sparse_column_with_hash_bucket
sparse_column_with_integerized_feature
sparse_column_with_keys
sparse_column_with_vocabulary_file
spatial_softmax
stack
summarize_activation
summarize_activations
summarize_collection
summarize_tensor
summarize_tensors
sum_regularizer
transform_features
unit_norm
variance_scaling_initializer
weighted_sparse_column
weighted_sum_from_feature_columns
xavier_initializer
feature_column
Overview
summaries
Overview
learn
Overview
BaseEstimator
binary_svm_head
build_parsing_serving_input_fn
DNNClassifier
DNNEstimator
DNNLinearCombinedClassifier
DNNLinearCombinedEstimator
DNNLinearCombinedRegressor
DNNRegressor
DynamicRnnEstimator
Estimator
Evaluable
evaluate
Experiment
ExportStrategy
extract_dask_data
extract_dask_labels
extract_pandas_data
extract_pandas_labels
extract_pandas_matrix
Head
infer
infer_real_valued_columns_from_input
infer_real_valued_columns_from_input_fn
InputFnOps
KMeansClustering
LinearClassifier
LinearEstimator
LinearRegressor
LogisticRegressor
make_export_strategy
MetricSpec
ModeKeys
ModelFnOps
multi_class_head
multi_head
multi_label_head
NanLossDuringTrainingError
NotFittedError
no_op_train_fn
poisson_regression_head
PredictionKey
ProblemType
read_batch_examples
read_batch_features
read_batch_record_features
read_keyed_batch_examples
read_keyed_batch_examples_shared_queue
read_keyed_batch_features
read_keyed_batch_features_shared_queue
regression_head
RunConfig
run_feeds
run_n
SKCompat
SVM
TaskType
train
Trainable
datasets
Overview
graph_actions
Overview
head
Overview
io
Overview
learn_runner
Overview
run
tune
models
Overview
monitors
Overview
ops
Overview
preprocessing
Overview
utils
Overview
legacy_seq2seq
Overview
attention_decoder
basic_rnn_seq2seq
embedding_attention_decoder
embedding_attention_seq2seq
embedding_rnn_decoder
embedding_rnn_seq2seq
embedding_tied_rnn_seq2seq
model_with_buckets
one2many_rnn_seq2seq
rnn_decoder
sequence_loss
sequence_loss_by_example
tied_rnn_seq2seq
linear_optimizer
Overview
SdcaModel
SDCAOptimizer
SparseFeatureColumn
lookup
Overview
HasherSpec
HashTable
IdTableWithHashBuckets
index_table_from_file
index_table_from_tensor
index_to_string
index_to_string_table_from_file
index_to_string_table_from_tensor
InitializableLookupTableBase
LookupInterface
MutableHashTable
string_to_index
string_to_index_table_from_file
string_to_index_table_from_tensor
StrongHashSpec
TableInitializerBase
TextFileIdTableInitializer
TextFileStringTableInitializer
losses
Overview
absolute_difference
add_loss
compute_weighted_loss
cosine_distance
get_losses
get_regularization_losses
get_total_loss
hinge_loss
log_loss
mean_pairwise_squared_error
mean_squared_error
sigmoid_cross_entropy
softmax_cross_entropy
sparse_softmax_cross_entropy
metric_learning
Overview
cluster_loss
contrastive_loss
lifted_struct_loss
npairs_loss
npairs_loss_multilabel
triplet_semihard_loss
memory_stats
Overview
BytesInUse
BytesLimit
MaxBytesInUse
metrics
Overview
accuracy
aggregate_metrics
aggregate_metric_map
auc_using_histogram
auc_with_confidence_intervals
cohen_kappa
confusion_matrix
count
f1_score
precision_at_recall
precision_recall_at_equal_thresholds
recall_at_precision
sparse_recall_at_top_k
streaming_accuracy
streaming_auc
streaming_concat
streaming_covariance
streaming_curve_points
streaming_dynamic_auc
streaming_false_negatives
streaming_false_negatives_at_thresholds
streaming_false_negative_rate
streaming_false_negative_rate_at_thresholds
streaming_false_positives
streaming_false_positives_at_thresholds
streaming_false_positive_rate
streaming_false_positive_rate_at_thresholds
streaming_mean
streaming_mean_absolute_error
streaming_mean_cosine_distance
streaming_mean_iou
streaming_mean_relative_error
streaming_mean_squared_error
streaming_mean_tensor
streaming_pearson_correlation
streaming_percentage_less
streaming_precision
streaming_precision_at_thresholds
streaming_recall
streaming_recall_at_k
streaming_recall_at_thresholds
streaming_root_mean_squared_error
streaming_sensitivity_at_specificity
streaming_sparse_average_precision_at_k
streaming_sparse_average_precision_at_top_k
streaming_sparse_precision_at_k
streaming_sparse_precision_at_top_k
streaming_sparse_recall_at_k
streaming_specificity_at_sensitivity
streaming_true_negatives
streaming_true_negatives_at_thresholds
streaming_true_positives
streaming_true_positives_at_thresholds
mixed_precision
Overview
ExponentialUpdateLossScaleManager
FixedLossScaleManager
LossScaleManager
LossScaleOptimizer
model_pruning
Overview
apply_mask
get_masked_weights
get_masks
get_pruning_hparams
get_thresholds
get_weights
get_weight_sparsity
graph_def_from_checkpoint
MaskedBasicLSTMCell
MaskedLSTMCell
masked_conv2d
masked_fully_connected
Pruning
strip_pruning_vars_fn
train
nn
Overview
alpha_dropout
deprecated_flipped_sigmoid_cross_entropy_with_logits
deprecated_flipped_softmax_cross_entropy_with_logits
deprecated_flipped_sparse_softmax_cross_entropy_with_logits
nth_element
rank_sampled_softmax_loss
sampled_sparse_softmax_loss
scaled_softplus
opt
Overview
AdaMaxOptimizer
AdamGSOptimizer
AdamWOptimizer
AddSignOptimizer
AGNCustomGetter
AGNOptimizer
clip_gradients_by_global_norm
DecoupledWeightDecayExtension
DropStaleGradientOptimizer
ElasticAverageCustomGetter
ElasticAverageOptimizer
extend_with_decoupled_weight_decay
ExternalOptimizerInterface
GGTOptimizer
LARSOptimizer
LazyAdamGSOptimizer
LazyAdamOptimizer
ModelAverageCustomGetter
ModelAverageOptimizer
MomentumWOptimizer
MovingAverageOptimizer
MultitaskOptimizerWrapper
NadamOptimizer
PowerSignOptimizer
RegAdagradOptimizer
ScipyOptimizerInterface
ShampooOptimizer
VariableClippingOptimizer
optimizer_v2
Overview
AdadeltaOptimizer
AdagradOptimizer
AdamOptimizer
GradientDescentOptimizer
MomentumOpt