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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)
add_extra_jars() (bigdl.util.common.Configuration static method)
add_extra_python_modules() (bigdl.util.common.Configuration static 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.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.mnist (module)
bigdl.dataset.movielens (module)
bigdl.dataset.news20 (module)
bigdl.dataset.transformer (module)
bigdl.examples (module)
bigdl.examples.keras (module)
bigdl.examples.keras.imdb_cnn_lstm (module)
bigdl.examples.keras.keras_utils (module)
bigdl.keras (module)
bigdl.models (module)
bigdl.models.lenet (module)
bigdl.models.lenet.lenet5 (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.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.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)
build_keras_model() (in module bigdl.examples.keras.imdb_cnn_lstm)
build_model() (in module bigdl.models.lenet.lenet5)
(in module bigdl.models.local_lenet.local_lenet)
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)
compare_version() (in module bigdl.util.engine)
Concat (class in bigdl.nn.layer)
ConcatTable (class in bigdl.nn.layer)
Configuration (class in bigdl.util.common)
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_output() (bigdl.nn.layer.Layer 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.optim.optimizer.Optimizer static method)
create_spark_conf() (in module bigdl.util.common)
create_tmp_path() (in module bigdl.util.common)
Criterion (class in bigdl.nn.criterion)
Cropping2D (class in bigdl.nn.layer)
Cropping3D (class in bigdl.nn.layer)
CrossEntropyCriterion (class in bigdl.nn.criterion)
CSubTable (class in bigdl.nn.layer)
D
Default (class in bigdl.optim.optimizer)
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.models.ml_pipeline.dl_classifier)
DLClassifierModel (class in bigdl.models.ml_pipeline.dl_classifier)
DLEstimator (class in bigdl.models.ml_pipeline.dl_classifier)
DLModel (class in bigdl.models.ml_pipeline.dl_classifier)
DotProduct (class in bigdl.nn.layer)
download_glove_w2v() (in module bigdl.dataset.news20)
download_news20() (in module bigdl.dataset.news20)
Dropout (class in bigdl.nn.layer)
dump_keras() (in module bigdl.examples.keras.keras_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.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)
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.models.ml_pipeline.dl_classifier.HasFeatureSize attribute)
FeatureTransformer (class in bigdl.transform.vision.image)
Filler (class in bigdl.transform.vision.image)
FixedCrop (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_jtensor() (bigdl.util.common.Sample class method)
from_jvalue() (bigdl.nn.layer.Model static method)
from_ndarray() (bigdl.util.common.JTensor class method)
(bigdl.util.common.Sample class method)
G
GaussianCriterion (class in bigdl.nn.criterion)
GaussianDropout (class in bigdl.nn.layer)
GaussianNoise (class in bigdl.nn.layer)
GaussianSampler (class in bigdl.nn.layer)
get_activation_by_name() (in module bigdl.util.common)
get_bigdl_classpath() (in module bigdl.util.engine)
get_bigdl_conf() (in module bigdl.util.common)
get_bigdl_jars() (bigdl.util.common.Configuration static method)
get_creator_class() (bigdl.util.common.JavaCreator class method)
get_dtype() (bigdl.nn.layer.Layer method)
(in module bigdl.util.common)
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_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.models.lenet.lenet5)
(in module bigdl.models.local_lenet.local_lenet)
get_news20() (in module bigdl.dataset.news20)
get_predict() (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_weights() (bigdl.nn.layer.Layer method)
getBatchSize() (bigdl.models.ml_pipeline.dl_classifier.HasBatchSize method)
getFeatureSize() (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize method)
getLearningRate() (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate method)
getMaxEpoch() (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.models.ml_pipeline.dl_classifier)
HasFeatureSize (class in bigdl.models.ml_pipeline.dl_classifier)
HasLearningRate (class in bigdl.models.ml_pipeline.dl_classifier)
HasMaxEpoch (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)
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)
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
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)
layers (bigdl.nn.layer.Container attribute)
LBFGS (class in bigdl.optim.optimizer)
LeakyReLU (class in bigdl.nn.layer)
learningRate (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate attribute)
Linear (class in bigdl.nn.layer)
load() (bigdl.nn.layer.Model 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_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)
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.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)
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)
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)
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.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.Layer class method)
(bigdl.nn.layer.Node class method)
Ones (class in bigdl.nn.initialization_method)
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)
Pipeline (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.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)
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
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_parquet() (bigdl.transform.vision.image.ImageFrame class method)
read_scalar() (bigdl.optim.optimizer.TrainSummary method)
(bigdl.optim.optimizer.ValidationSummary 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)
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)
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)
saveModel() (bigdl.nn.layer.Layer method)
Scale (class in bigdl.nn.layer)
Select (class in bigdl.nn.layer)
SelectTable (class in bigdl.nn.layer)
Sequential (class in bigdl.nn.layer)
set_checkpoint() (bigdl.optim.optimizer.BaseOptimizer method)
set_creator_class() (bigdl.util.common.JavaCreator class method)
set_criterion() (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_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.models.ml_pipeline.dl_classifier.HasBatchSize method)
setBRegularizer() (bigdl.nn.layer.Layer method)
setFeatureSize() (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize method)
setLearningRate() (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate method)
setMaxEpoch() (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)
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)
SpatialSeperableConvolution (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)
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.transform.vision.image.FeatureTransformer method)
(bigdl.transform.vision.image.ImageFrame method)
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)
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
ValidationSummary (class in bigdl.optim.optimizer)
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)
X
Xavier (class in bigdl.nn.initialization_method)
Z
zero_grad_parameters() (bigdl.nn.layer.Layer method)
Zeros (class in bigdl.nn.initialization_method)
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