All functions
|
|
activation_identity
|
Identity Function For CNTK Operations |
|
Activation
|
Activation Layer |
|
all_devices
|
All Devices |
|
arraymixin_as_array
|
ArrayMixin As Array |
|
ArrayMixin
|
Array Mixin |
|
arrayview_from_data
|
ArrayView From Data |
|
arrayview_from_dense
|
ArrayView From Dense Data |
|
arrayview_slice_view
|
ArrayView Slice View |
|
as_block
|
As Block |
|
as_composite
|
As Composite |
|
asvalue
|
Value Form Matrix |
|
AttentionModel
|
Attention Model |
|
AveragePooling
|
Average Pooling Layer |
|
Base64ImageDeserializer
|
Base64ImageDeserializer |
|
BatchNormalization
|
BatchNormalization |
|
block_momentum_distributed_learner
|
Block Momentum Distributed Learner |
|
CheckpointConfig
|
New Checkpoint Config |
|
classification_error
|
Classification Error Between Target and Predicted |
|
CloneMethod
|
CloneMethod |
|
CNTKAxis
|
CNTKAxis |
|
CNTKCrosstalk
|
CNTK Implementation for Crosstalk |
|
comm_barrier
|
Communicator Barrier |
|
comm_current_worker
|
Communicator Current Worker |
|
comm_finalize
|
Communicator Finalize |
|
comm_is_main
|
Communicator Is On Main Node |
|
comm_num_workers
|
Number of Communicator Nodes |
|
comm_rank
|
Communicator Rank |
|
comm_workers
|
Communicator Workers |
|
Communicator
|
New Communicator |
|
Constant
|
Constant |
|
Conv2DArgs
|
Convolution2D Arguments |
|
Conv2DAttr
|
Conv2D Variable Attribute |
|
Convolution
|
Convolution |
|
Convolution1D
|
Convolution1D |
|
Convolution2D
|
Two Dimensional Convolutional Layer |
|
Convolution3D
|
Convolution3D |
|
ConvolutionTranspose
|
ConvolutionTranspose |
|
ConvolutionTranspose1D
|
ConvolutionTranspose1D |
|
ConvolutionTranspose2D
|
ConvolutionTranspose2D |
|
ConvolutionTranspose3D
|
ConvolutionTranspose3D |
|
cpu_descriptor
|
CPU Descriptor |
|
create_new_leading_axis
|
Create New Leading Axis |
|
Crosstalk
|
Crosstalk Base Class |
|
CrossValidationConfig
|
New Cross Validation Configuration |
|
ct_assign
|
Assign Crosstalk Value |
|
ct_compare
|
Compare Crosstalk Var |
|
ct_fetch
|
Fetch Crosstalk Var |
|
ct_is_param
|
CNTKCrosstalk Var is Parameter |
|
ct_load_all_params
|
Load All CNTKCrosstalk Params From Files |
|
ct_load_raw_value
|
Load Crosstalk Raw Value |
|
ct_load
|
Load Crosstalk Vars |
|
ct_next_pass
|
Next Crosstalk Pass |
|
ct_register_funcs
|
Register Crosstalk Var Type Getter/Setters |
|
ct_reset
|
Reset Crosstalk Vars |
|
ct_save_all_params
|
Save All CNTKCrosstalk Params to Files |
|
ct_save_all
|
Save All Crosstalk Vars |
|
ct_save
|
Save Crosstalk Vars |
|
ct_set_data
|
Set CNTKCrosstalk Mapped Data |
|
ct_set_workdir
|
Set Crosstalk Working Directory |
|
ct_watch
|
Watch Crosstalk Variable |
|
CTFDeserializer
|
CTFDeserializer |
|
data_parallel_distributed_learner
|
New Data Parallel Distributed Learner |
|
debug_model
|
Debug Model |
|
default_options_for
|
Default Options For |
|
default_options
|
Default Options |
|
default_override_or
|
Default Override Or |
|
default_sample_dir
|
Default Sample Dir |
|
default_sample_url
|
Default Sample URL |
|
Delay
|
Delay |
|
Dense
|
Dense |
|
DeviceDescriptor
|
Create Device Descriptor |
|
DeviceKind
|
Create Device Kind |
|
disable_profiler
|
Disable Profiler |
|
DistributedLearner
|
Distributed Learner |
|
Dropout
|
Dropout |
|
dump_function
|
Dump Function |
|
dump_signature
|
Dump Signature |
|
edit_distance_error
|
Edit Distance Error |
|
EmbedAttr
|
EmbedAttr |
|
Embedding
|
Embedding |
|
enable_profiler
|
Enable Profiler |
|
eval_test_minibatch
|
Test Evaluator Minibatch |
|
Evaluator
|
Evaluator |
|
find_func_param
|
Find Parameter in Function - CNTKCrosstalk |
|
Fold
|
Fold |
|
For
|
CNTK Function For Loop Construct |
|
ForwardDeclaration
|
ForwardDeclaration |
|
func_backward
|
Propogate Function Backward |
|
func_clone
|
Clone Function |
|
func_eval
|
Evaluate Function |
|
func_find_all_with_name
|
Find All Functions With Name |
|
func_find_by_name
|
Find Function By Name |
|
func_forward
|
Compute Function Forward |
|
func_grad
|
Compute Function Gradient |
|
func_load
|
Load Function Model |
|
func_replace_placeholder
|
Replace Function Placeholder |
|
func_replace_placeholders
|
Replace Function Placeholders |
|
func_restore
|
Restore Function |
|
func_save
|
Save Function |
|
func_set_attribute
|
Set Function Attribute |
|
func_test
|
Test Function Model |
|
func_train
|
Train Function Model |
|
FuncInfo
|
Variable Setter/Getter Functions |
|
Function
|
CNTK Function |
|
get_all_axes
|
Get All Axes |
|
get_all_static_axes
|
Get All Static Axes |
|
get_communicator
|
Get Distributed Communicator |
|
get_default_batch_axis
|
Get Default Batch Axis |
|
get_default_dynamic_axis
|
Get Default Dynamic Axis |
|
get_default_override
|
Get Default Override |
|
get_global_option
|
Get Global Option |
|
get_gpu_properties
|
Get GPU Properties |
|
get_learning_rate
|
Get Learner Learning Rate |
|
get_logging_trace_level
|
Get Logging Trace Level |
|
get_minibatch_checkpoint_state
|
Get Minibatch Checkpoint State |
|
get_static_axis_index
|
Get Static Axis Index |
|
GlobalAveragePooling
|
GlobalAveragePooling |
|
GlobalMaxPooling
|
GlobalMaxPooling |
|
graph_depth_first_search
|
Graph - Depth First Search |
|
graph_find_all_with_name
|
Graph - Find All With Name |
|
graph_find_by_name
|
Graph - Find By Name |
|
GRU
|
GRU |
|
HTKFeatureDeserializer
|
HTKFeatureDeserializer |
|
HTKMLFDeserializer
|
Base64ImageDeserializer |
|
ImageDeserializer
|
ImageDeserializer |
|
init_bilinear
|
Bilinear Initializer |
|
init_glorot_normal
|
Glorot Normal Initializer |
|
init_glorot_uniform
|
Glorot Uniform Initializer |
|
init_he_normal
|
He Normal Initializer |
|
init_he_uniform
|
He Uniform Initializer |
|
init_normal
|
Normal Initializer |
|
init_truncated_normal
|
Truncated Normal Initializer |
|
init_uniform
|
Uniform Initializer |
|
init_with_rank
|
Initializer With Rank |
|
init_xavier
|
Xavier Initializer |
|
install_samples
|
Install Samples |
|
IO_INFINITELY_REPEAT
|
IO_INFINITELY_REPEAT |
|
is_default_override
|
Is Default Override |
|
Label
|
Label |
|
LayerNormalization
|
LayerNormalization |
|
learner_momentum_sgd
|
Creates a Momentum SGD learner instance to learn the parameters. |
|
Learner
|
Learner |
|
log_number_of_parameters
|
Log Number of Parameters |
|
loss_binary_cross_entropy
|
Binary Cross Entropy Loss |
|
loss_cosine_distance_negative_samples
|
Cosine Distance NEgative Samples Loss |
|
loss_cosine_distance
|
Cosine Distance Loss |
|
loss_cross_entropy_with_softmax
|
Cross Entropy Loss with Softmax for Multiclass Classification |
|
loss_lambda_rank
|
Lambda Rank Loss |
|
loss_squared_error
|
Squared Error Loss |
|
loss_weighted_binary_cross_entropy
|
Weighted Binary Cross Entropy Loss |
|
LSTM
|
LSTM |
|
MaxPooling
|
Max-Pooling Layer Factory |
|
mb_as_sequences
|
Minibatch Data As Sequences |
|
mb_stream_info
|
Minibatch Stream Info |
|
mb_stream_infos
|
Minibatch Stream Infos |
|
MinibatchData
|
MinibatchData |
|
MinibatchSource
|
Minibatch Source |
|
MinibatchSourceFromData
|
MinibatchSourceFromData |
|
module_is_unreleased
|
Module Is Unreleased |
|
mpi_communicator
|
New MPI Communicator |
|
native_user_function
|
Create Native UserFunction |
|
NDArrayView
|
Create an NDArrayView Instance |
|
ndcg_at_1
|
NDCG at 1 |
|
next_minibatch
|
Next Minibatch |
|
on_train_cross_validation_end
|
On Training Cross Validation End |
|
op_abs
|
Absolute Value |
|
op_alias
|
Alias |
|
op_argmax
|
Argmax Across Axis |
|
op_argmin
|
Argmin Across Axis |
|
op_assign
|
Assign |
|
op_associative_multi_arg
|
Associative Multi-Arg |
|
op_batch_normalization
|
Batch Normalization |
|
op_ceil
|
Ceiling |
|
op_clip
|
Clip |
|
op_combine
|
Combine |
|
op_constant
|
It creates a constant tensor initialized from a numpy array |
|
op_convolution_transpose
|
Convolution Transpose |
|
op_convolution
|
Convolution |
|
op_cos
|
Element-wise Cosine |
|
op_dim_mean_variance_normalize
|
Per-dimension Mean-variance Normalization |
|
op_dropout
|
Dropout |
|
op_element_divide
|
Element-wise Division |
|
op_element_max
|
Element Max |
|
op_element_min
|
Element Min |
|
op_element_select
|
Element Select |
|
op_element_times
|
Element Times |
|
op_elu
|
Elu |
|
op_equal
|
Equal Comparison |
|
op_exp
|
Element-wise Exponential |
|
op_floor
|
Floor |
|
op_forward_backward
|
Forward-Backward |
|
op_gather
|
Gather |
|
op_greater_equal
|
Element-wise Greater Equal Comparison |
|
op_greater
|
Element-wise Greater Comparison |
|
op_hardmax
|
Hardmax |
|
op_input_variable
|
Create input for network |
|
op_labels_to_graph
|
Labels To Graph |
|
op_leaky_relu
|
Leaky Relu |
|
op_less_equal
|
Element-wise Less Equal Comparison |
|
op_less
|
Element-wise Less Comparison |
|
op_log_add_exp
|
Log Add Exp |
|
op_log
|
Element-wise Natural Log |
|
op_minus
|
Minus |
|
op_negate
|
Element-wise Negation |
|
op_not_equal
|
Element-wise Not Equal Comparison |
|
op_one_hot
|
Create One-Hot Encoding |
|
op_optimized_rnnstack
|
Optimized RNN Stack |
|
op_output_variable
|
Output Variable |
|
op_param_relu
|
Parametric ReLU |
|
op_parameter
|
Parameter |
|
op_placeholder
|
Placeholder |
|
op_plus
|
Addition of Two Tensors |
|
op_pooling
|
Pooling |
|
op_pow
|
Power Computation |
|
op_random_sample_inclusion_frequency
|
Random Sample Inclusion Frequency |
|
op_random_sample
|
Random Sample |
|
op_reciprocal
|
Element-wise Reciprocal |
|
op_reconcile_dynamic_axes
|
Reconcile Dynamic Axes |
|
op_reduce_log_sum_exp
|
Reduce Max Across Axis |
|
op_reduce_max
|
Reduce Max Across Axis |
|
op_reduce_mean
|
Reduce Mean Across Axis |
|
op_reduce_min
|
Reduce Minimum Across Axis |
|
op_reduce_prod
|
Reduce Prod Across Axis |
|
op_reduce_sum
|
Reduce Sum Across Axis |
|
op_relu
|
Rectified Linear Units Operation |
|
op_reshape
|
Reshape |
|
op_roipooling
|
Region of Interest Pooling |
|
op_round
|
Element-wise Rounding |
|
op_sigmoid
|
Element-wise Sigmoid |
|
op_sin
|
Element-wise Sine |
|
op_slice
|
Slice |
|
op_softmax
|
Softmax |
|
op_softplus
|
Softplus |
|
op_splice
|
Concatenate Across Axis |
|
op_sqrt
|
Element-wise Square-root |
|
op_square
|
Element-wise Square |
|
op_stop_gradient
|
Stop Gradient |
|
op_swap_axes
|
Swap Axes |
|
op_tanh
|
Hyperbolic tan |
|
op_times_transpose
|
One Element Times Another Transposed Element |
|
op_times
|
Matrix Product |
|
op_to_sequence_like
|
To Sequence Like |
|
op_to_sequence
|
To Sequence |
|
op_transpose
|
Transpose |
|
op_unpooling
|
Unpooling |
|
Parameter
|
Parameter |
|
PastValueWindow
|
Past Value Window |
|
printer_end_progress_print
|
Printer - End Progress Pring |
|
printer_log
|
Printer - Log |
|
printer_on_training_update_end
|
Printer - On Training Update End |
|
printer_on_write_distributed_sync_update
|
Printer - On Write Distributed Sync Update |
|
printer_on_write_test_summary
|
Printer - On Write Test Summary |
|
printer_on_write_test_update
|
any writer |
|
printer_on_write_training_summary
|
Printer - On Write Training Summary |
|
printer_on_write_training_update
|
Printer - Training Update on Write |
|
printer_write
|
Printer - Write |
|
ProgressPrinter
|
Create Progress Printer |
|
rand_bernoulli_like
|
Random Bernoulli Like |
|
rand_bernoulli
|
Random Bernoulli Distribution |
|
rand_gumbel_like
|
Random Gumbel Like Distribution |
|
rand_gumbel
|
Random Gumbel Distribution |
|
rand_normal_like
|
Random Normal Like Distribution |
|
rand_normal
|
Random Normal Distribution |
|
rand_uniform_like
|
Random Uniform Like Distribution |
|
rand_uniform
|
Random Uniform Distribution |
|
Record
|
Record |
|
Recurrence
|
Recurrence |
|
RecurrenceFrom
|
Recurrence From |
|
register_native_user_function
|
Register Native UserFunction |
|
register_udf_deserialize_callback
|
Register UDF Deserialize Callback |
|
reset_learning_rate
|
Reset Learner Learning Rate |
|
ResNetBlock
|
ResNet Block |
|
restore_mb_from_checkpoint
|
Restore Minibatch From Checkpoint |
|
restore_trainer_from_checkpoint
|
Restore Trainer From Checkpoint |
|
RnnArgs
|
RNN Variable Arguments |
|
RnnAttr
|
RNN Variable Attributes |
|
RRNStep
|
RNNStep |
|
save_as_legacy_model
|
Save As Legacy Model |
|
save_trainer_checkpoint
|
Save Trainer Checkpoint |
|
seq_broadcast_as
|
Broadcast Sequence As |
|
seq_delay
|
Delay Sequence |
|
seq_first
|
First Element of Sequence |
|
seq_future_value
|
Sequence Future Value |
|
seq_gather
|
Sequence Gather |
|
seq_input_variable
|
Sequence Network Input Variable |
|
seq_is_first
|
Sequence Is First |
|
seq_is_last
|
Sequence Is Last |
|
seq_last
|
Get Last Sequence Element |
|
seq_past_value
|
Get Past Sequence Value |
|
seq_reduce_max
|
Reduce Sequence Max |
|
seq_reduce_sum
|
Reduce Sequence Element Sum |
|
seq_scatter
|
Sequence Scatter |
|
seq_slice
|
Sequence Slice |
|
seq_softmax
|
Sequence Softmax |
|
seq_unpack
|
Sequence Unpack |
|
seq_where
|
Sequence Where |
|
sequence_to_cntk_text_format
|
Convert Sequence to CNTK Text Format |
|
Sequential
|
Sequential Higher-Order Wrapper for Layer Definitions |
|
SequentialClique
|
Sequential Clique |
|
sess_minibatch_size_schedule
|
Create a Minibatch Size Schedule |
|
sess_training_session
|
Create Training Session Object |
|
set_checked_mode
|
Set Checked Mode |
|
set_computation_network_trace_level
|
Set Computation Network Trace Level |
|
set_excluded_devices
|
Set Excluded Devices |
|
set_global_option
|
Set Global Option |
|
set_logging_trace_level
|
Set Logging Trace Level |
|
Stabilizer
|
Stabilizer |
|
start_profiler
|
Start Profiler |
|
stop_profiler
|
Stop Profiler |
|
StreamConfiguration
|
Stream Configuration |
|
StreamDef
|
StreamDef |
|
StreamDefs
|
StreamDefs |
|
StreamInformation
|
StreamInformation |
|
summarize_test_progress
|
Summarize Evaluator Test Progress |
|
summarize_training_progress
|
Summarize Training Progress |
|
tensorboard_close
|
Close Tensorboard |
|
tensorboard_flush
|
Flush Tensorboard |
|
tensorboard_write_value
|
TensorBoard Write Value |
|
TensorBoardProgressWriter
|
New TensorBoard Progress Writer |
|
TensorOpsMixin
|
TensorOpsMixin |
|
test_minibatch
|
Test Minibatch |
|
TestConfig
|
New Test Configuration |
|
TraceLevel
|
Trace Level |
|
train_minibatch
|
Train Minibatch |
|
train_on_session
|
Train On TrainingSession |
|
Trainer
|
Trainer |
|
TrainingSession
|
New Training Configuration |
|
TrainingSummaryProgressCallback
|
Training Summary Progress Callback |
|
transform_color
|
Color Transform |
|
transform_crop
|
Crop Transform |
|
transform_mean
|
Mean Transform |
|
transform_scale
|
Scale Transform |
|
try_set_default_device
|
Try Set Default Device |
|
UnfoldFrom
|
Unfold From |
|
unknown_dynamic_axes
|
Unknown Dynamic Axes |
|
UntestedBranchError
|
Untested Branch Error |
|
updated_record_with
|
Updated Record With |
|
use_default_device
|
Use Default Device |
|
user_function
|
User Defined Function |
|
userfunc_clone
|
Clone UserFunction |
|
userfunc_deserialize
|
Deserialize UserFunction |
|
userfunc_infer_outputs
|
Infer Outputs of UserFunction |
|
userfunc_serialize
|
Serialize UserFunction |
|
UserFunction
|
User Function |
|
UserLearner
|
UserLearner |
|
usermb_next_minibatch
|
UserMinibatch Next Minibatch |
|
UserMinibatchSource
|
UserMinibatchSource |
|
value_as_matrix
|
Value As Matrix |
|
value_as_sequences
|
Get Value As Sequence of Matrices |
|
value_create
|
Create a Value Object |
|
value_one_hot
|
Value as One Hot |
|
Value
|
New Value Instance |
|
Variable
|
Variable |
|
VariableMixin
|
Variable Mixin |
|
VarInfo
|
Variable Information |
|
visualize_network
|
Visualize Network Architecture |
|
WorkerDescriptor
|
New Distributed Worker Descriptor |