Man pages for Microsoft/CNTK-R
R Interface to the Microsoft Cognitive Toolkit (CNTK)
| Activation | Activation Layer |
| activation_identity | Identity Function For CNTK Operations |
| all_devices | All Devices |
| ArrayMixin | Array Mixin |
| arraymixin_as_array | ArrayMixin As Array |
| 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 |
| Communicator | New Communicator |
| comm_workers | Communicator Workers |
| 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 |
| CTFDeserializer | CTFDeserializer |
| ct_fetch | Fetch Crosstalk Var |
| ct_is_param | CNTKCrosstalk Var is Parameter |
| ct_load | Load Crosstalk Vars |
| ct_load_all_params | Load All CNTKCrosstalk Params From Files |
| ct_load_raw_value | Load Crosstalk Raw Value |
| ct_next_pass | Next Crosstalk Pass |
| ct_register_funcs | Register Crosstalk Var Type Getter/Setters |
| ct_reset | Reset Crosstalk Vars |
| ct_save | Save Crosstalk Vars |
| ct_save_all | Save All Crosstalk Vars |
| ct_save_all_params | Save All CNTKCrosstalk Params to Files |
| ct_set_data | Set CNTKCrosstalk Mapped Data |
| ct_set_workdir | Set Crosstalk Working Directory |
| ct_watch | Watch Crosstalk Variable |
| data_parallel_distributed_learner | New Data Parallel Distributed Learner |
| debug_model | Debug Model |
| default_options | Default Options |
| default_options_for | Default Options For |
| default_override_or | Default Override Or |
| default_sample_dir | Default Sample Dir |
| default_sample_url | Default Sample URL |
| 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 |
| FuncInfo | Variable Setter/Getter Functions |
| 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 |
| Function | CNTK Function |
| func_train | Train Function Model |
| 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 | Learner |
| learner_momentum_sgd | Creates a Momentum SGD learner instance to learn the... |
| log_number_of_parameters | Log Number of Parameters |
| loss_binary_cross_entropy | Binary Cross Entropy Loss |
| loss_cosine_distance | Cosine Distance Loss |
| loss_cosine_distance_negative_samples | Cosine Distance NEgative Samples 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 | Convolution |
| op_convolution_transpose | Convolution Transpose |
| 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 | Element-wise Greater Comparison |
| op_greater_equal | Element-wise Greater Equal 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 | Element-wise Less Comparison |
| op_less_equal | Element-wise Less Equal Comparison |
| op_log | Element-wise Natural Log |
| op_log_add_exp | Log Add Exp |
| 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_parameter | Parameter |
| op_param_relu | Parametric ReLU |
| op_placeholder | Placeholder |
| op_plus | Addition of Two Tensors |
| op_pooling | Pooling |
| op_pow | Power Computation |
| op_random_sample | Random Sample |
| op_random_sample_inclusion_frequency | Random Sample Inclusion Frequency |
| 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 | Matrix Product |
| op_times_transpose | One Element Times Another Transposed Element |
| op_to_sequence | To Sequence |
| op_to_sequence_like | To Sequence Like |
| 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 | Random Bernoulli Distribution |
| rand_bernoulli_like | Random Bernoulli Like |
| rand_gumbel | Random Gumbel Distribution |
| rand_gumbel_like | Random Gumbel Like Distribution |
| rand_normal | Random Normal Distribution |
| rand_normal_like | Random Normal Like Distribution |
| rand_uniform | Random Uniform Distribution |
| rand_uniform_like | Random Uniform Like 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 |
| sequence_to_cntk_text_format | Convert Sequence to CNTK Text Format |
| Sequential | Sequential Higher-Order Wrapper for Layer Definitions |
| SequentialClique | Sequential Clique |
| seq_unpack | Sequence Unpack |
| seq_where | Sequence Where |
| 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 |
| TensorBoardProgressWriter | New TensorBoard Progress Writer |
| tensorboard_write_value | TensorBoard Write Value |
| TensorOpsMixin | TensorOpsMixin |
| TestConfig | New Test Configuration |
| test_minibatch | Test Minibatch |
| TraceLevel | Trace Level |
| Trainer | Trainer |
| TrainingSession | New Training Configuration |
| TrainingSummaryProgressCallback | Training Summary Progress Callback |
| train_minibatch | Train Minibatch |
| train_on_session | Train On TrainingSession |
| 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 |
| userfunc_clone | Clone UserFunction |
| userfunc_deserialize | Deserialize UserFunction |
| userfunc_infer_outputs | Infer Outputs of UserFunction |
| userfunc_serialize | Serialize UserFunction |
| user_function | User Defined Function |
| UserFunction | User Function |
| UserLearner | UserLearner |
| usermb_next_minibatch | UserMinibatch Next Minibatch |
| UserMinibatchSource | UserMinibatchSource |
| Value | New Value Instance |
| 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 |
| Variable | Variable |
| VariableMixin | Variable Mixin |
| VarInfo | Variable Information |
| visualize_network | Visualize Network Architecture |
| WorkerDescriptor | New Distributed Worker Descriptor |
