Index

A

Abs (class in bigdl.nn.layer) AbsCriterion (class in bigdl.nn.criterion) ActivityRegularization (class in bigdl.nn.layer) (class in bigdl.optim.optimizer) Adadelta (class in bigdl.optim.optimizer) Adagrad (class in bigdl.optim.optimizer) Adam (class in bigdl.optim.optimizer) Adamax (class in bigdl.optim.optimizer)

Add (class in bigdl.nn.layer) add() (bigdl.dataset.base.Progbar method) (bigdl.nn.criterion.MultiCriterion method) (bigdl.nn.criterion.ParallelCriterion method) (bigdl.nn.layer.Container method) (bigdl.optim.optimizer.SequentialSchedule method) add_creator_class() (bigdl.util.common.JavaCreator class method) AddConstant (class in bigdl.nn.layer) AspectScale (class in bigdl.transform.vision.image)

B

backward() (bigdl.nn.criterion.Criterion method) (bigdl.nn.layer.Layer method) BaseOptimizer (class in bigdl.optim.optimizer) BatchNormalization (class in bigdl.nn.layer) batchSize (bigdl.dlframes.dl_classifier.HasBatchSize attribute) (bigdl.models.ml_pipeline.dl_classifier.HasBatchSize attribute) BCECriterion (class in bigdl.nn.criterion) BifurcateSplitTable (class in bigdl.nn.layer) bigdl (module) bigdl.dataset (module) bigdl.dataset.base (module) bigdl.dataset.dataset (module) bigdl.dataset.mnist (module) bigdl.dataset.movielens (module) bigdl.dataset.news20 (module) bigdl.dataset.sentence (module) bigdl.dataset.transformer (module) bigdl.dlframes (module) bigdl.dlframes.dl_classifier (module) bigdl.dlframes.dl_image_reader (module) bigdl.dlframes.dl_image_transformer (module) bigdl.examples (module) bigdl.examples.imageframe (module) bigdl.examples.imageframe.inception_validation (module) bigdl.examples.keras (module) bigdl.examples.keras.imdb_cnn_lstm (module) bigdl.examples.keras.keras_utils (module) bigdl.examples.keras.mnist_cnn (module) bigdl.examples.lenet (module) bigdl.keras (module) bigdl.keras.backend (module) bigdl.keras.converter (module) bigdl.keras.optimization (module) bigdl.keras.ToBigDLHelper (module) bigdl.models (module)

bigdl.models.lenet (module) bigdl.models.lenet.lenet5 (module) bigdl.models.lenet.utils (module) bigdl.models.local_lenet (module) bigdl.models.local_lenet.local_lenet (module) bigdl.models.ml_pipeline (module) bigdl.models.ml_pipeline.dl_classifier (module) bigdl.models.utils (module) bigdl.models.utils.model_broadcast (module) bigdl.nn (module) bigdl.nn.criterion (module) bigdl.nn.initialization_method (module) bigdl.nn.layer (module) bigdl.optim (module) bigdl.optim.optimizer (module) bigdl.transform (module) bigdl.transform.vision (module) bigdl.transform.vision.image (module) bigdl.util (module) bigdl.util.common (module) bigdl.util.engine (module) bigdl.util.tf_utils (module) bigdl.version (module) Bilinear (class in bigdl.nn.layer) BilinearFiller (class in bigdl.nn.initialization_method) BinaryThreshold (class in bigdl.nn.layer) BinaryTreeLSTM (class in bigdl.nn.layer) BiRecurrent (class in bigdl.nn.layer) Bottle (class in bigdl.nn.layer) Brightness (class in bigdl.transform.vision.image) broadcast_model() (in module bigdl.models.utils.model_broadcast) build_keras_model() (in module bigdl.examples.keras.imdb_cnn_lstm) (in module bigdl.examples.keras.mnist_cnn) build_model() (in module bigdl.models.lenet.lenet5) BytesToMat (class in bigdl.transform.vision.image)

C

CAdd (class in bigdl.nn.layer) CAddTable (class in bigdl.nn.layer) callBigDlFunc() (in module bigdl.util.common) callJavaFunc() (in module bigdl.util.common) CategoricalCrossEntropy (class in bigdl.nn.criterion) CAveTable (class in bigdl.nn.layer) CDivTable (class in bigdl.nn.layer) CenterCrop (class in bigdl.transform.vision.image) ChannelNormalize (class in bigdl.transform.vision.image) ChannelOrder (class in bigdl.transform.vision.image) check_input() (bigdl.nn.layer.Layer static method) check_spark_source_conflict() (in module bigdl.util.engine) Clamp (class in bigdl.nn.layer) ClassNLLCriterion (class in bigdl.nn.criterion) ClassSimplexCriterion (class in bigdl.nn.criterion) CMaxTable (class in bigdl.nn.layer) CMinTable (class in bigdl.nn.layer) CMul (class in bigdl.nn.layer) CMulTable (class in bigdl.nn.layer) ColorJitter (class in bigdl.transform.vision.image) combo_parameter_layer() (bigdl.keras.converter.LayerConverter method) compare_version() (in module bigdl.util.engine) Concat (class in bigdl.nn.layer) ConcatTable (class in bigdl.nn.layer) ConstInitMethod (class in bigdl.nn.initialization_method) Container (class in bigdl.nn.layer) Contiguous (class in bigdl.nn.layer) Contrast (class in bigdl.transform.vision.image) convert() (in module bigdl.util.tf_utils) convert_atrousconvolution1d() (bigdl.keras.converter.WeightsConverter static method) convert_atrousconvolution2d() (bigdl.keras.converter.WeightsConverter static method) convert_batchnormalization() (bigdl.keras.converter.WeightsConverter static method) convert_bidirectional() (bigdl.keras.converter.WeightsConverter static method) convert_convlstm2d() (bigdl.keras.converter.WeightsConverter static method) convert_convolution1d() (bigdl.keras.converter.WeightsConverter static method) convert_convolution2d() (bigdl.keras.converter.WeightsConverter static method) convert_convolution3d() (bigdl.keras.converter.WeightsConverter static method) convert_deconvolution2d() (bigdl.keras.converter.WeightsConverter static method) convert_dense() (bigdl.keras.converter.WeightsConverter static method) convert_embedding() (bigdl.keras.converter.WeightsConverter static method) convert_gru() (bigdl.keras.converter.WeightsConverter static method) convert_highway() (bigdl.keras.converter.WeightsConverter static method) convert_locallyconnected1d() (bigdl.keras.converter.WeightsConverter static method) convert_locallyconnected2d() (bigdl.keras.converter.WeightsConverter static method) convert_lstm() (bigdl.keras.converter.WeightsConverter static method) convert_maxoutdense() (bigdl.keras.converter.WeightsConverter static method) convert_output() (bigdl.nn.layer.Layer static method) convert_separableconvolution2d() (bigdl.keras.converter.WeightsConverter static method) convert_simplernn() (bigdl.keras.converter.WeightsConverter static method) convert_srelu() (bigdl.keras.converter.WeightsConverter static method) convert_timedistributed() (bigdl.keras.converter.WeightsConverter static method) convert_timedistributeddense() (bigdl.keras.converter.WeightsConverter static method) ConvLSTMPeephole (class in bigdl.nn.layer) ConvLSTMPeephole3D (class in bigdl.nn.layer) Cosine (class in bigdl.nn.layer) CosineDistance (class in bigdl.nn.layer) CosineDistanceCriterion (class in bigdl.nn.criterion) CosineEmbeddingCriterion (class in bigdl.nn.criterion) CosineProximityCriterion (class in bigdl.nn.criterion) create() (bigdl.keras.converter.LayerConverter method) (bigdl.optim.optimizer.Optimizer static method) create_activation() (bigdl.keras.converter.LayerConverter method) create_activityregularization() (bigdl.keras.converter.LayerConverter method) create_atrousconvolution1d() (bigdl.keras.converter.LayerConverter method) create_atrousconvolution2d() (bigdl.keras.converter.LayerConverter method) create_averagepooling1d() (bigdl.keras.converter.LayerConverter method) create_averagepooling2d() (bigdl.keras.converter.LayerConverter method)

create_averagepooling3d() (bigdl.keras.converter.LayerConverter method) create_batchnormalization() (bigdl.keras.converter.LayerConverter method) create_bidirectional() (bigdl.keras.converter.LayerConverter method) create_convlstm2d() (bigdl.keras.converter.LayerConverter method) create_convolution1d() (bigdl.keras.converter.LayerConverter method) create_convolution2d() (bigdl.keras.converter.LayerConverter method) create_convolution3d() (bigdl.keras.converter.LayerConverter method) create_cropping1d() (bigdl.keras.converter.LayerConverter method) create_cropping2d() (bigdl.keras.converter.LayerConverter method) create_cropping3d() (bigdl.keras.converter.LayerConverter method) create_deconvolution2d() (bigdl.keras.converter.LayerConverter method) create_dense() (bigdl.keras.converter.LayerConverter method) create_dropout() (bigdl.keras.converter.LayerConverter method) create_elu() (bigdl.keras.converter.LayerConverter method) create_embedding() (bigdl.keras.converter.LayerConverter method) create_flatten() (bigdl.keras.converter.LayerConverter method) create_gaussiandropout() (bigdl.keras.converter.LayerConverter method) create_gaussiannoise() (bigdl.keras.converter.LayerConverter method) create_globalaveragepooling1d() (bigdl.keras.converter.LayerConverter method) create_globalaveragepooling2d() (bigdl.keras.converter.LayerConverter method) create_globalaveragepooling3d() (bigdl.keras.converter.LayerConverter method) create_globalmaxpooling1d() (bigdl.keras.converter.LayerConverter method) create_globalmaxpooling2d() (bigdl.keras.converter.LayerConverter method) create_globalmaxpooling3d() (bigdl.keras.converter.LayerConverter method) create_gru() (bigdl.keras.converter.LayerConverter method) create_highway() (bigdl.keras.converter.LayerConverter method) create_inputlayer() (bigdl.keras.converter.LayerConverter method) create_leakyrelu() (bigdl.keras.converter.LayerConverter method) create_locallyconnected1d() (bigdl.keras.converter.LayerConverter method) create_locallyconnected2d() (bigdl.keras.converter.LayerConverter method) create_lstm() (bigdl.keras.converter.LayerConverter method) create_masking() (bigdl.keras.converter.LayerConverter method) create_maxoutdense() (bigdl.keras.converter.LayerConverter method) create_maxpooling1d() (bigdl.keras.converter.LayerConverter method) create_maxpooling2d() (bigdl.keras.converter.LayerConverter method) create_maxpooling3d() (bigdl.keras.converter.LayerConverter method) create_merge() (bigdl.keras.converter.LayerConverter method) create_model() (bigdl.keras.converter.LayerConverter method) create_parametricsoftplus() (bigdl.keras.converter.LayerConverter method) create_permute() (bigdl.keras.converter.LayerConverter method) create_prelu() (bigdl.keras.converter.LayerConverter method) create_repeatvector() (bigdl.keras.converter.LayerConverter method) create_reshape() (bigdl.keras.converter.LayerConverter method) create_separableconvolution2d() (bigdl.keras.converter.LayerConverter method) create_sequential() (bigdl.keras.converter.LayerConverter method) create_simplernn() (bigdl.keras.converter.LayerConverter method) create_spark_conf() (in module bigdl.util.common) create_spatialdropout1d() (bigdl.keras.converter.LayerConverter method) create_spatialdropout2d() (bigdl.keras.converter.LayerConverter method) create_spatialdropout3d() (bigdl.keras.converter.LayerConverter method) create_srelu() (bigdl.keras.converter.LayerConverter method) create_thresholdedrelu() (bigdl.keras.converter.LayerConverter method) create_timedistributed() (bigdl.keras.converter.LayerConverter method) create_timedistributeddense() (bigdl.keras.converter.LayerConverter method) create_tmp_path() (in module bigdl.util.common) create_upsampling1d() (bigdl.keras.converter.LayerConverter method) create_upsampling2d() (bigdl.keras.converter.LayerConverter method) create_upsampling3d() (bigdl.keras.converter.LayerConverter method) create_zeropadding1d() (bigdl.keras.converter.LayerConverter method) create_zeropadding2d() (bigdl.keras.converter.LayerConverter method) create_zeropadding3d() (bigdl.keras.converter.LayerConverter method) Criterion (class in bigdl.nn.criterion) Cropping2D (class in bigdl.nn.layer) Cropping3D (class in bigdl.nn.layer) CrossEntropyCriterion (class in bigdl.nn.criterion) CrossProduct (class in bigdl.nn.layer) CSubTable (class in bigdl.nn.layer)

D

DataSet (class in bigdl.dataset.dataset) Default (class in bigdl.optim.optimizer) DefinitionLoader (class in bigdl.keras.converter) DenseToSparse (class in bigdl.nn.layer) DetectionCrop (class in bigdl.transform.vision.image) DetectionOutputFrcnn (class in bigdl.nn.layer) DetectionOutputSSD (class in bigdl.nn.layer) DiceCoefficientCriterion (class in bigdl.nn.criterion) disable_gradclip() (bigdl.optim.optimizer.BaseOptimizer method) display_table() (in module bigdl.dataset.base) DistKLDivCriterion (class in bigdl.nn.criterion) DistributedImageFrame (class in bigdl.transform.vision.image) DistriOptimizer (class in bigdl.optim.optimizer) DLClassifier (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier)

DLClassifierModel (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier) DLEstimator (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier) DLImageReader (class in bigdl.dlframes.dl_image_reader) DLImageTransformer (class in bigdl.dlframes.dl_image_transformer) DLModel (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier) DotProduct (class in bigdl.nn.layer) DotProductCriterion (class in bigdl.nn.criterion) download_glove_w2v() (in module bigdl.dataset.news20) download_news20() (in module bigdl.dataset.news20) Dropout (class in bigdl.nn.layer) dump() (bigdl.models.utils.model_broadcast.ModelBroadcast method) dump_keras() (in module bigdl.examples.keras.keras_utils) dump_model() (in module bigdl.util.tf_utils)

E

Echo (class in bigdl.nn.layer) element() (bigdl.nn.layer.Node method) ELU (class in bigdl.nn.layer) Euclidean (class in bigdl.nn.layer) evaluate() (bigdl.keras.backend.KerasModelWrapper method) (bigdl.nn.layer.Layer method) EvaluatedResult (class in bigdl.util.common) EveryEpoch (class in bigdl.optim.optimizer)

exist_pyspark() (in module bigdl.util.engine) Exp (class in bigdl.nn.layer) Expand (class in bigdl.transform.vision.image) Exponential (class in bigdl.optim.optimizer) export_checkpoint() (in module bigdl.util.tf_utils) extend_spark_driver_cp() (in module bigdl.util.common) extract_images() (in module bigdl.dataset.mnist) extract_labels() (in module bigdl.dataset.mnist)

F

featureSize (bigdl.dlframes.dl_classifier.HasFeatureSize attribute) (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize attribute) FeatureTransformer (class in bigdl.transform.vision.image) files_to_image_frame() (bigdl.transform.vision.image.SeqFileFolder class method) Filler (class in bigdl.transform.vision.image) fit() (bigdl.keras.backend.KerasModelWrapper method) FixedCrop (class in bigdl.transform.vision.image) FixExpand (class in bigdl.transform.vision.image) flattened_layers() (bigdl.nn.layer.Container method) FlattenTable (class in bigdl.nn.layer) forward() (bigdl.nn.criterion.Criterion method) (bigdl.nn.layer.Layer method)

freeze() (bigdl.nn.layer.Layer method) from_hdf5_path() (bigdl.keras.converter.DefinitionLoader class method) from_json_path() (bigdl.keras.converter.DefinitionLoader class method) from_json_str() (bigdl.keras.converter.DefinitionLoader class method) from_jtensor() (bigdl.util.common.Sample class method) from_jvalue() (bigdl.nn.layer.Layer static method) (bigdl.nn.layer.Model static method) (bigdl.nn.layer.Sequential static method) from_kmodel() (bigdl.keras.converter.DefinitionLoader class method) from_ndarray() (bigdl.util.common.JTensor class method) (bigdl.util.common.Sample class method) Ftrl (class in bigdl.optim.optimizer) fuse() (bigdl.keras.converter.LayerConverter method)

G

GatewayWrapper (class in bigdl.util.common) GaussianCriterion (class in bigdl.nn.criterion) GaussianDropout (class in bigdl.nn.layer) GaussianNoise (class in bigdl.nn.layer) GaussianSampler (class in bigdl.nn.layer) generate_convlstm2d_cell() (bigdl.keras.converter.LayerConverter method) generate_gru_cell() (bigdl.keras.converter.LayerConverter method) generate_lstm_cell() (bigdl.keras.converter.LayerConverter method) generate_simplernn_cell() (bigdl.keras.converter.LayerConverter method) get_activation_by_name() (in module bigdl.util.common) get_bdim_order() (bigdl.keras.converter.LayerConverter method) get_bigdl_classpath() (in module bigdl.util.engine) get_bigdl_conf() (in module bigdl.util.common) get_bigdl_weights_from_klayer() (bigdl.keras.converter.WeightsConverter static method) get_converter() (bigdl.keras.converter.WeightsConverter static method) get_creator_class() (bigdl.util.common.JavaCreator class method) get_data() (in module bigdl.examples.imageframe.inception_validation) get_dtype() (bigdl.nn.layer.Layer method) (in module bigdl.util.common) get_end_trigger() (in module bigdl.models.lenet.utils) get_glove_w2v() (in module bigdl.dataset.news20) get_hidden_state() (bigdl.nn.layer.Recurrent method) get_id_pairs() (in module bigdl.dataset.movielens) get_id_ratings() (in module bigdl.dataset.movielens) get_image() (bigdl.transform.vision.image.DistributedImageFrame method) (bigdl.transform.vision.image.ImageFeature method) (bigdl.transform.vision.image.ImageFrame method) (bigdl.transform.vision.image.LocalImageFrame method) get_image_frame() (bigdl.dataset.dataset.DataSet method) get_label() (bigdl.transform.vision.image.DistributedImageFrame method) (bigdl.transform.vision.image.ImageFeature method) (bigdl.transform.vision.image.ImageFrame method) (bigdl.transform.vision.image.LocalImageFrame method)

get_local_file() (in module bigdl.util.common) get_mnist() (in module bigdl.examples.keras.mnist_cnn) (in module bigdl.models.lenet.utils) (in module bigdl.models.local_lenet.local_lenet) get_news20() (in module bigdl.dataset.news20) get_node_and_core_number() (in module bigdl.util.common) get_path() (in module bigdl.util.tf_utils) get_predict() (bigdl.transform.vision.image.DistributedImageFrame method) (bigdl.transform.vision.image.ImageFrame method) (bigdl.transform.vision.image.LocalImageFrame method) get_sample() (bigdl.transform.vision.image.DistributedImageFrame method) (bigdl.transform.vision.image.ImageFrame method) (bigdl.transform.vision.image.LocalImageFrame method) get_spark_context() (in module bigdl.util.common) get_spark_sql_context() (in module bigdl.util.common) get_uri() (bigdl.transform.vision.image.DistributedImageFrame method) (bigdl.transform.vision.image.ImageFrame method) (bigdl.transform.vision.image.LocalImageFrame method) get_value_from_init() (bigdl.keras.converter.LayerConverter method) get_weights() (bigdl.nn.layer.Layer method) get_weights_from_kmodel() (bigdl.keras.converter.WeightsConverter static method) getBatchSize() (bigdl.dlframes.dl_classifier.HasBatchSize method) (bigdl.models.ml_pipeline.dl_classifier.HasBatchSize method) getFeatureSize() (bigdl.dlframes.dl_classifier.HasFeatureSize method) (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize method) getLearningRate() (bigdl.dlframes.dl_classifier.HasLearningRate method) (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate method) getMaxEpoch() (bigdl.dlframes.dl_classifier.HasMaxEpoch method) (bigdl.models.ml_pipeline.dl_classifier.HasMaxEpoch method) GradientReversal (class in bigdl.nn.layer) GRU (class in bigdl.nn.layer)

H

HardShrink (class in bigdl.nn.layer) HardSigmoid (class in bigdl.nn.layer) HardTanh (class in bigdl.nn.layer) HasBatchSize (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier) HasFeatureSize (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier)

HasLearningRate (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier) HasMaxEpoch (class in bigdl.dlframes.dl_classifier) (class in bigdl.models.ml_pipeline.dl_classifier) HFlip (class in bigdl.transform.vision.image) Highway (class in bigdl.nn.layer) HingeEmbeddingCriterion (class in bigdl.nn.criterion) Hue (class in bigdl.transform.vision.image)

I

Identity (class in bigdl.nn.layer) image_frame() (bigdl.dataset.dataset.DataSet class method) ImageFeature (class in bigdl.transform.vision.image) ImageFrame (class in bigdl.transform.vision.image) ImageFrameToSample (class in bigdl.transform.vision.image) Index (class in bigdl.nn.layer) InferReshape (class in bigdl.nn.layer) init_engine() (in module bigdl.util.common) init_executor_gateway() (in module bigdl.util.common)

InitializationMethod (class in bigdl.nn.initialization_method) Input (class in bigdl.nn.layer) instance() (bigdl.util.common.SingletonMixin class method) is_distributed() (bigdl.transform.vision.image.ImageFrame method) (in module bigdl.util.common) is_local() (bigdl.transform.vision.image.ImageFrame method) is_spark_below_2_2() (in module bigdl.util.engine) is_training() (bigdl.nn.layer.Layer method) is_with_weights() (bigdl.nn.layer.Layer method)

J

JActivity (class in bigdl.util.common) JavaCreator (class in bigdl.util.common) JavaValue (class in bigdl.util.common)

JoinTable (class in bigdl.nn.layer) JTensor (class in bigdl.util.common) jvm_class_constructor() (bigdl.util.common.JavaValue method)

K

KerasModelWrapper (class in bigdl.keras.backend) keys() (bigdl.transform.vision.image.ImageFeature method)

KLDCriterion (class in bigdl.nn.criterion) KullbackLeiblerDivergenceCriterion (class in bigdl.nn.criterion)

L

L1Cost (class in bigdl.nn.criterion) L1HingeEmbeddingCriterion (class in bigdl.nn.criterion) L1L2Regularizer (class in bigdl.optim.optimizer) L1Penalty (class in bigdl.nn.layer) L1Regularizer (class in bigdl.optim.optimizer) L2Regularizer (class in bigdl.optim.optimizer) Layer (class in bigdl.nn.layer) LayerConverter (class in bigdl.keras.converter) layers (bigdl.nn.layer.Container attribute) LBFGS (class in bigdl.optim.optimizer) LeakyReLU (class in bigdl.nn.layer) learningRate (bigdl.dlframes.dl_classifier.HasLearningRate attribute) (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate attribute) Linear (class in bigdl.nn.layer) load() (bigdl.nn.layer.SharedStaticUtils static method) (bigdl.optim.optimizer.OptimMethod static method) load_caffe() (bigdl.nn.layer.Model static method) load_caffe_model() (bigdl.nn.layer.Model static method) load_data() (in module bigdl.dataset.mnist)

load_imdb() (in module bigdl.examples.keras.imdb_cnn_lstm) load_keras() (bigdl.nn.layer.Model static method) load_tensorflow() (bigdl.nn.layer.Model static method) load_torch() (bigdl.nn.layer.Model static method) load_weights_from_hdf5() (bigdl.keras.converter.WeightLoader static method) load_weights_from_json_hdf5() (bigdl.keras.converter.WeightLoader static method) load_weights_from_kmodel() (bigdl.keras.converter.WeightLoader static method) loadModel() (bigdl.nn.layer.Model static method) LocalImageFrame (class in bigdl.transform.vision.image) LocallyConnected1D (class in bigdl.nn.layer) LocallyConnected2D (class in bigdl.nn.layer) LocalOptimizer (class in bigdl.optim.optimizer) Log (class in bigdl.nn.layer) LogSigmoid (class in bigdl.nn.layer) LogSoftMax (class in bigdl.nn.layer) LookupTable (class in bigdl.nn.layer) LookupTableSparse (class in bigdl.nn.layer) Loss (class in bigdl.optim.optimizer) LSTM (class in bigdl.nn.layer) LSTMPeephole (class in bigdl.nn.layer)

M

MAE (class in bigdl.optim.optimizer) MapTable (class in bigdl.nn.layer) MarginCriterion (class in bigdl.nn.criterion) MarginRankingCriterion (class in bigdl.nn.criterion) MaskedSelect (class in bigdl.nn.layer) Masking (class in bigdl.nn.layer) MatToFloats (class in bigdl.transform.vision.image) MatToTensor (class in bigdl.transform.vision.image) Max (class in bigdl.nn.layer) maxEpoch (bigdl.dlframes.dl_classifier.HasMaxEpoch attribute) (bigdl.models.ml_pipeline.dl_classifier.HasMaxEpoch attribute) MaxEpoch (class in bigdl.optim.optimizer) MaxIteration (class in bigdl.optim.optimizer) Maxout (class in bigdl.nn.layer) MaxScore (class in bigdl.optim.optimizer) maybe_download() (in module bigdl.dataset.base) Mean (class in bigdl.nn.layer) MeanAbsolutePercentageCriterion (class in bigdl.nn.criterion)

MeanSquaredLogarithmicCriterion (class in bigdl.nn.criterion) merge_checkpoint() (in module bigdl.util.tf_utils) Min (class in bigdl.nn.layer) MinLoss (class in bigdl.optim.optimizer) MixtureTable (class in bigdl.nn.layer) MM (class in bigdl.nn.layer) Model (class in bigdl.nn.layer) ModelBroadcast (class in bigdl.models.utils.model_broadcast) MSECriterion (class in bigdl.nn.criterion) MsraFiller (class in bigdl.nn.initialization_method) Mul (class in bigdl.nn.layer) MulConstant (class in bigdl.nn.layer) MultiCriterion (class in bigdl.nn.criterion) MultiLabelMarginCriterion (class in bigdl.nn.criterion) MultiLabelSoftMarginCriterion (class in bigdl.nn.criterion) MultiMarginCriterion (class in bigdl.nn.criterion) MultiRNNCell (class in bigdl.nn.layer) MultiStep (class in bigdl.optim.optimizer) MV (class in bigdl.nn.layer)

N

name() (bigdl.nn.layer.Layer method) Narrow (class in bigdl.nn.layer) NarrowTable (class in bigdl.nn.layer) Negative (class in bigdl.nn.layer) NegativeEntropyPenalty (class in bigdl.nn.layer)

Node (class in bigdl.nn.layer) node() (bigdl.nn.layer.Model method) Normalize (class in bigdl.nn.layer) normalizer() (in module bigdl.dataset.transformer) NormalizeScale (class in bigdl.nn.layer)

O

of() (bigdl.dlframes.dl_classifier.DLClassifierModel class method) (bigdl.dlframes.dl_classifier.DLModel class method) (bigdl.models.ml_pipeline.dl_classifier.DLClassifierModel class method) (bigdl.models.ml_pipeline.dl_classifier.DLModel class method) (bigdl.nn.criterion.Criterion class method) (bigdl.nn.layer.Node class method) (bigdl.nn.layer.SharedStaticUtils static method)

Ones (class in bigdl.nn.initialization_method) OptimConverter (class in bigdl.keras.optimization) optimize() (bigdl.optim.optimizer.BaseOptimizer method) Optimizer (class in bigdl.optim.optimizer) OptimMethod (class in bigdl.optim.optimizer)

P

Pack (class in bigdl.nn.layer) Padding (class in bigdl.nn.layer) PairwiseDistance (class in bigdl.nn.layer) ParallelCriterion (class in bigdl.nn.criterion) ParallelTable (class in bigdl.nn.layer) parameters() (bigdl.nn.layer.Layer method) PGCriterion (class in bigdl.nn.criterion) Pipeline (class in bigdl.transform.vision.image) PixelBytesToMat (class in bigdl.transform.vision.image) PixelNormalize (class in bigdl.transform.vision.image) Plateau (class in bigdl.optim.optimizer) PoissonCriterion (class in bigdl.nn.criterion) Poly (class in bigdl.optim.optimizer) Power (class in bigdl.nn.layer)

predict() (bigdl.keras.backend.KerasModelWrapper method) (bigdl.nn.layer.Layer method) predict_class() (bigdl.nn.layer.Layer method) predict_class_distributed() (bigdl.nn.layer.Layer method) predict_class_local() (bigdl.nn.layer.Layer method) predict_distributed() (bigdl.nn.layer.Layer method) predict_image() (bigdl.nn.layer.Layer method) predict_local() (bigdl.nn.layer.Layer method) PReLU (class in bigdl.nn.layer) prepare_env() (in module bigdl.util.engine) prepare_input() (bigdl.optim.optimizer.BaseOptimizer method) preprocess_mnist() (in module bigdl.models.lenet.utils) PriorBox (class in bigdl.nn.layer) Progbar (class in bigdl.dataset.base) Proposal (class in bigdl.nn.layer)

Q

quantize() (bigdl.nn.layer.Layer method)

R

random_split() (bigdl.transform.vision.image.DistributedImageFrame method) (bigdl.transform.vision.image.ImageFrame method) (bigdl.transform.vision.image.LocalImageFrame method) RandomAspectScale (class in bigdl.transform.vision.image) RandomCrop (class in bigdl.transform.vision.image) RandomNormal (class in bigdl.nn.initialization_method) RandomSampler (class in bigdl.transform.vision.image) RandomTransformer (class in bigdl.transform.vision.image) RandomUniform (class in bigdl.nn.initialization_method) read() (bigdl.transform.vision.image.ImageFrame class method) read_data_sets() (in module bigdl.dataset.mnist) (in module bigdl.dataset.movielens) read_localfile() (in module bigdl.dataset.sentence) read_parquet() (bigdl.transform.vision.image.ImageFrame class method) read_scalar() (bigdl.optim.optimizer.TrainSummary method) (bigdl.optim.optimizer.ValidationSummary method) readImages() (bigdl.dlframes.dl_image_reader.DLImageReader static method) Recurrent (class in bigdl.nn.layer) RecurrentDecoder (class in bigdl.nn.layer) redire_spark_logs() (in module bigdl.util.common)

ReLU (class in bigdl.nn.layer) ReLU6 (class in bigdl.nn.layer) remove_next_edges() (bigdl.nn.layer.Node method) remove_pre_edges() (bigdl.nn.layer.Node method) Replicate (class in bigdl.nn.layer) reset() (bigdl.nn.layer.Layer method) Reshape (class in bigdl.nn.layer) Resize (class in bigdl.transform.vision.image) ResizeBilinear (class in bigdl.nn.layer) Reverse (class in bigdl.nn.layer) RMSprop (class in bigdl.optim.optimizer) RNG (class in bigdl.util.common) RnnCell (class in bigdl.nn.layer) RoiHFlip (class in bigdl.transform.vision.image) RoiNormalize (class in bigdl.transform.vision.image) RoiPooling (class in bigdl.nn.layer) RoiProject (class in bigdl.transform.vision.image) RoiResize (class in bigdl.transform.vision.image) RReLU (class in bigdl.nn.layer) run() (in module bigdl.examples.imageframe.inception_validation)

S

Sample (class in bigdl.util.common) Saturation (class in bigdl.transform.vision.image) save() (bigdl.nn.layer.Layer method) (bigdl.optim.optimizer.OptimMethod method) save_caffe() (bigdl.nn.layer.Layer method) save_graph_topology() (bigdl.nn.layer.Model method) save_keras_definition() (in module bigdl.examples.keras.keras_utils) save_tensorflow() (bigdl.nn.layer.Layer method) save_variable_bigdl() (in module bigdl.util.tf_utils) saveModel() (bigdl.nn.layer.Layer method) Scale (class in bigdl.nn.layer) Select (class in bigdl.nn.layer) SelectTable (class in bigdl.nn.layer) sentence_tokenizer() (in module bigdl.dataset.sentence) sentences_bipadding() (in module bigdl.dataset.sentence) sentences_split() (in module bigdl.dataset.sentence) SeqFileFolder (class in bigdl.transform.vision.image) Sequential (class in bigdl.nn.layer) SequentialSchedule (class in bigdl.optim.optimizer) set_checkpoint() (bigdl.optim.optimizer.BaseOptimizer method) set_creator_class() (bigdl.util.common.JavaCreator class method) set_criterion() (bigdl.optim.optimizer.BaseOptimizer method) set_end_when() (bigdl.optim.optimizer.BaseOptimizer method) set_gradclip_const() (bigdl.optim.optimizer.BaseOptimizer method) set_gradclip_l2norm() (bigdl.optim.optimizer.BaseOptimizer method) set_init_method() (bigdl.nn.layer.Add method) (bigdl.nn.layer.BatchNormalization method) (bigdl.nn.layer.Bilinear method) (bigdl.nn.layer.CAdd method) (bigdl.nn.layer.CMul method) (bigdl.nn.layer.Cosine method) (bigdl.nn.layer.Euclidean method) (bigdl.nn.layer.Linear method) (bigdl.nn.layer.LocallyConnected1D method) (bigdl.nn.layer.LocallyConnected2D method) (bigdl.nn.layer.LookupTable method) (bigdl.nn.layer.LookupTableSparse method) (bigdl.nn.layer.Mul method) (bigdl.nn.layer.PReLU method) (bigdl.nn.layer.SReLU method) (bigdl.nn.layer.SparseLinear method) (bigdl.nn.layer.SpatialBatchNormalization method) (bigdl.nn.layer.SpatialConvolution method) (bigdl.nn.layer.SpatialDilatedConvolution method) (bigdl.nn.layer.SpatialFullConvolution method) (bigdl.nn.layer.SpatialShareConvolution method) (bigdl.nn.layer.TemporalConvolution method) (bigdl.nn.layer.VolumetricConvolution method) (bigdl.nn.layer.VolumetricFullConvolution method) set_label() (bigdl.transform.vision.image.ImageFrame method) set_model() (bigdl.optim.optimizer.BaseOptimizer method) set_name() (bigdl.nn.layer.Layer method) set_running_mean() (bigdl.nn.layer.Layer method) set_running_std() (bigdl.nn.layer.Layer method) set_seed() (bigdl.nn.layer.Layer method) (bigdl.util.common.RNG method) set_summary_trigger() (bigdl.optim.optimizer.TrainSummary method) set_train_summary() (bigdl.optim.optimizer.BaseOptimizer method) set_traindata() (bigdl.optim.optimizer.Optimizer method)

set_val_summary() (bigdl.optim.optimizer.BaseOptimizer method) set_validation() (bigdl.optim.optimizer.LocalOptimizer method) (bigdl.optim.optimizer.Optimizer method) set_weights() (bigdl.nn.layer.Layer method) (bigdl.nn.layer.SpatialAveragePooling method) setBatchSize() (bigdl.dlframes.dl_classifier.HasBatchSize method) (bigdl.models.ml_pipeline.dl_classifier.HasBatchSize method) setBRegularizer() (bigdl.nn.layer.Layer method) setFeatureSize() (bigdl.dlframes.dl_classifier.HasFeatureSize method) (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize method) setLearningRate() (bigdl.dlframes.dl_classifier.HasLearningRate method) (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate method) setMaxEpoch() (bigdl.dlframes.dl_classifier.HasMaxEpoch method) (bigdl.models.ml_pipeline.dl_classifier.HasMaxEpoch method) setWRegularizer() (bigdl.nn.layer.Layer method) SeveralIteration (class in bigdl.optim.optimizer) SGD (class in bigdl.optim.optimizer) SharedStaticUtils (class in bigdl.nn.layer) show_bigdl_info_logs() (in module bigdl.util.common) Sigmoid (class in bigdl.nn.layer) SingletonMixin (class in bigdl.util.common) SmoothL1Criterion (class in bigdl.nn.criterion) SmoothL1CriterionWithWeights (class in bigdl.nn.criterion) SoftMarginCriterion (class in bigdl.nn.criterion) SoftMax (class in bigdl.nn.layer) SoftmaxWithCriterion (class in bigdl.nn.criterion) SoftMin (class in bigdl.nn.layer) SoftPlus (class in bigdl.nn.layer) SoftShrink (class in bigdl.nn.layer) SoftSign (class in bigdl.nn.layer) sparse() (bigdl.util.common.JTensor class method) SparseJoinTable (class in bigdl.nn.layer) SparseLinear (class in bigdl.nn.layer) SpatialAveragePooling (class in bigdl.nn.layer) SpatialBatchNormalization (class in bigdl.nn.layer) SpatialContrastiveNormalization (class in bigdl.nn.layer) SpatialConvolution (class in bigdl.nn.layer) SpatialConvolutionMap (class in bigdl.nn.layer) SpatialCrossMapLRN (class in bigdl.nn.layer) SpatialDilatedConvolution (class in bigdl.nn.layer) SpatialDivisiveNormalization (class in bigdl.nn.layer) SpatialDropout1D (class in bigdl.nn.layer) SpatialDropout2D (class in bigdl.nn.layer) SpatialDropout3D (class in bigdl.nn.layer) SpatialFullConvolution (class in bigdl.nn.layer) SpatialMaxPooling (class in bigdl.nn.layer) SpatialSeparableConvolution (class in bigdl.nn.layer) SpatialShareConvolution (class in bigdl.nn.layer) SpatialSubtractiveNormalization (class in bigdl.nn.layer) SpatialWithinChannelLRN (class in bigdl.nn.layer) SpatialZeroPadding (class in bigdl.nn.layer) SplitTable (class in bigdl.nn.layer) Sqrt (class in bigdl.nn.layer) Square (class in bigdl.nn.layer) Squeeze (class in bigdl.nn.layer) SReLU (class in bigdl.nn.layer) Step (class in bigdl.optim.optimizer) stop_gradient() (bigdl.nn.layer.Model method) Sum (class in bigdl.nn.layer)

T

Tanh (class in bigdl.nn.layer) TanhShrink (class in bigdl.nn.layer) TemporalConvolution (class in bigdl.nn.layer) TemporalMaxPooling (class in bigdl.nn.layer) text_from_path() (in module bigdl.util.common) Threshold (class in bigdl.nn.layer) Tile (class in bigdl.nn.layer) TimeDistributed (class in bigdl.nn.layer) TimeDistributedCriterion (class in bigdl.nn.criterion) TimeDistributedMaskCriterion (class in bigdl.nn.criterion) to_bigdl_2d_ordering() (in module bigdl.keras.ToBigDLHelper) to_bigdl_2d_padding() (in module bigdl.keras.ToBigDLHelper) to_bigdl_3d_ordering() (in module bigdl.keras.ToBigDLHelper) to_bigdl_3d_padding() (in module bigdl.keras.ToBigDLHelper) to_bigdl_criterion() (bigdl.keras.optimization.OptimConverter static method) to_bigdl_init() (in module bigdl.keras.ToBigDLHelper) to_bigdl_metrics() (bigdl.keras.optimization.OptimConverter static method)

to_bigdl_optim_method() (bigdl.keras.optimization.OptimConverter static method) to_bigdl_reg() (in module bigdl.keras.ToBigDLHelper) to_bigdl_weights() (bigdl.keras.converter.WeightsConverter static method) to_list() (in module bigdl.util.common) to_ndarray() (bigdl.util.common.JTensor method) to_sample_rdd() (in module bigdl.util.common) Top1Accuracy (class in bigdl.optim.optimizer) Top5Accuracy (class in bigdl.optim.optimizer) train() (bigdl.nn.layer.Model static method) training() (bigdl.nn.layer.Layer method) TrainSummary (class in bigdl.optim.optimizer) transform() (bigdl.dataset.dataset.DataSet method) (bigdl.dlframes.dl_image_transformer.DLImageTransformer method) (bigdl.transform.vision.image.FeatureTransformer method) (bigdl.transform.vision.image.ImageFrame method) TransformerCriterion (class in bigdl.nn.criterion) Transpose (class in bigdl.nn.layer) TreeNNAccuracy (class in bigdl.optim.optimizer)

U

unfreeze() (bigdl.nn.layer.Layer method) uniform() (bigdl.util.common.RNG method) Unsqueeze (class in bigdl.nn.layer) unsupport_exp() (in module bigdl.keras.converter) update() (bigdl.dataset.base.Progbar method)

update_parameters() (bigdl.nn.layer.Layer method) UpSampling1D (class in bigdl.nn.layer) UpSampling2D (class in bigdl.nn.layer) UpSampling3D (class in bigdl.nn.layer) urlretrieve() (in module bigdl.dataset.base)

V

validate_optimizer() (in module bigdl.models.lenet.utils) ValidationSummary (class in bigdl.optim.optimizer) value (bigdl.models.utils.model_broadcast.ModelBroadcast attribute) View (class in bigdl.nn.layer)

VolumetricAveragePooling (class in bigdl.nn.layer) VolumetricConvolution (class in bigdl.nn.layer) VolumetricFullConvolution (class in bigdl.nn.layer) VolumetricMaxPooling (class in bigdl.nn.layer)

W

Warmup (class in bigdl.optim.optimizer) WeightLoader (class in bigdl.keras.converter)

WeightsConverter (class in bigdl.keras.converter) with_bigdl_backend() (in module bigdl.keras.backend) write_parquet() (bigdl.transform.vision.image.ImageFrame class method)

X

Xavier (class in bigdl.nn.initialization_method)

Z

zero_grad_parameters() (bigdl.nn.layer.Layer method)

Zeros (class in bigdl.nn.initialization_method)