Index

A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V

A

adadelta() (in module lasagne.updates)
adagrad() (in module lasagne.updates)
adam() (in module lasagne.updates)
adamax() (in module lasagne.updates)
add_param() (lasagne.layers.Layer method)
aggregate() (in module lasagne.objectives)
apply_momentum() (in module lasagne.updates)
apply_nesterov_momentum() (in module lasagne.updates)
apply_penalty() (in module lasagne.regularization)
as_theano_expression() (in module lasagne.utils)

B

batch_norm() (in module lasagne.layers)
batch_norm_dnn() (in module lasagne.layers.dnn)
BatchNormDNNLayer (class in lasagne.layers.dnn)
BatchNormLayer (class in lasagne.layers)
bc01_to_c01b (in module lasagne.layers.cuda_convnet)
BiasLayer (class in lasagne.layers)
binary_accuracy() (in module lasagne.objectives)
binary_crossentropy() (in module lasagne.objectives)
binary_hinge_loss() (in module lasagne.objectives)

C

c01b_to_bc01 (in module lasagne.layers.cuda_convnet)
categorical_accuracy() (in module lasagne.objectives)
categorical_crossentropy() (in module lasagne.objectives)
collect_shared_vars() (in module lasagne.utils)
compute_norms() (in module lasagne.utils)
concat (in module lasagne.layers)
ConcatLayer (class in lasagne.layers)
Constant (class in lasagne.init)
Conv1DLayer (class in lasagne.layers)
Conv2DCCLayer (class in lasagne.layers.cuda_convnet)
Conv2DDNNLayer (class in lasagne.layers.dnn)
Conv2DLayer (class in lasagne.layers)
Conv2DMMLayer (class in lasagne.layers.corrmm)
Conv3DDNNLayer (class in lasagne.layers.dnn)
count_params() (in module lasagne.layers)
create_param() (in module lasagne.utils)
CustomRecurrentLayer (class in lasagne.layers)

D

Deconv2DLayer (in module lasagne.layers)
DenseLayer (class in lasagne.layers)
DilatedConv2DLayer (class in lasagne.layers)
dimshuffle (in module lasagne.layers)
DimshuffleLayer (class in lasagne.layers)
dropout (in module lasagne.layers)
dropout_channels() (in module lasagne.layers)
dropout_locations() (in module lasagne.layers)
DropoutLayer (class in lasagne.layers)

E

ElemwiseMergeLayer (class in lasagne.layers)
ElemwiseSumLayer (class in lasagne.layers)
elu() (in module lasagne.nonlinearities)
EmbeddingLayer (class in lasagne.layers)
ExpressionLayer (class in lasagne.layers)

F

FeaturePoolLayer (class in lasagne.layers)
FeatureWTALayer (class in lasagne.layers)
flatten (in module lasagne.layers)
FlattenLayer (class in lasagne.layers)
floatX() (in module lasagne.utils)

G

Gate (class in lasagne.layers)
GaussianNoiseLayer (class in lasagne.layers)
get_all_layers() (in module lasagne.layers)
get_all_param_values() (in module lasagne.layers)
get_all_params() (in module lasagne.layers)
get_output() (in module lasagne.layers)
get_output_for() (lasagne.layers.CustomRecurrentLayer method)
(lasagne.layers.GRULayer method)
(lasagne.layers.GaussianNoiseLayer method)
(lasagne.layers.LSTMLayer method)
(lasagne.layers.Layer method)
(lasagne.layers.MergeLayer method)
(lasagne.layers.RandomizedRectifierLayer method)
get_output_shape() (in module lasagne.layers)
get_output_shape_for() (lasagne.layers.Layer method)
(lasagne.layers.MergeLayer method)
get_params() (lasagne.layers.Layer method)
get_rng() (in module lasagne.random)
GlobalPoolLayer (class in lasagne.layers)
Glorot (class in lasagne.init)
GlorotNormal (class in lasagne.init)
GlorotUniform (class in lasagne.init)
GRULayer (class in lasagne.layers)

H

He (class in lasagne.init)
HeNormal (class in lasagne.init)
HeUniform (class in lasagne.init)

I

identity() (in module lasagne.nonlinearities)
Initializer (class in lasagne.init)
InputLayer (class in lasagne.layers)
InverseLayer (class in lasagne.layers)

L

l1() (in module lasagne.regularization)
l2() (in module lasagne.regularization)
lasagne.init (module)
lasagne.layers (module)
lasagne.layers.base (module)
lasagne.layers.conv (module)
lasagne.layers.corrmm (module)
lasagne.layers.cuda_convnet (module)
lasagne.layers.dense (module)
lasagne.layers.dnn (module)
lasagne.layers.embedding (module)
lasagne.layers.helper (module)
lasagne.layers.input (module)
lasagne.layers.local (module)
lasagne.layers.merge (module)
lasagne.layers.noise (module)
lasagne.layers.normalization (module)
lasagne.layers.pool (module)
lasagne.layers.recurrent (module)
lasagne.layers.shape (module)
lasagne.layers.special (module)
lasagne.nonlinearities (module)
lasagne.objectives (module)
lasagne.random (module)
lasagne.regularization (module)
lasagne.updates (module)
lasagne.utils (module)
Layer (class in lasagne.layers)
leaky_rectify() (in module lasagne.nonlinearities)
LeakyRectify (class in lasagne.nonlinearities)
linear() (in module lasagne.nonlinearities)
LocallyConnected2DLayer (class in lasagne.layers)
LocalResponseNormalization2DLayer (class in lasagne.layers)
LSTMLayer (class in lasagne.layers)

M

MaxPool1DLayer (class in lasagne.layers)
MaxPool2DCCLayer (class in lasagne.layers.cuda_convnet)
MaxPool2DDNNLayer (class in lasagne.layers.dnn)
MaxPool2DLayer (class in lasagne.layers)
MaxPool3DDNNLayer (class in lasagne.layers.dnn)
MergeLayer (class in lasagne.layers)
momentum() (in module lasagne.updates)
multiclass_hinge_loss() (in module lasagne.objectives)

N

nesterov_momentum() (in module lasagne.updates)
NINLayer (class in lasagne.layers)
NINLayer_c01b (class in lasagne.layers.cuda_convnet)
NonlinearityLayer (class in lasagne.layers)
norm_constraint() (in module lasagne.updates)
Normal (class in lasagne.init)

O

one_hot() (in module lasagne.utils)
Orthogonal (class in lasagne.init)

P

pad (in module lasagne.layers)
PadLayer (class in lasagne.layers)
ParametricRectifierLayer (class in lasagne.layers)
Pool1DLayer (class in lasagne.layers)
Pool2DDNNLayer (class in lasagne.layers.dnn)
Pool2DLayer (class in lasagne.layers)
Pool3DDNNLayer (class in lasagne.layers.dnn)
prelu() (in module lasagne.layers)

R

RandomizedRectifierLayer (class in lasagne.layers)
rectify() (in module lasagne.nonlinearities)
RecurrentLayer (class in lasagne.layers)
regularize_layer_params() (in module lasagne.regularization)
regularize_layer_params_weighted() (in module lasagne.regularization)
regularize_network_params() (in module lasagne.regularization)
reshape (in module lasagne.layers)
ReshapeLayer (class in lasagne.layers)
rmsprop() (in module lasagne.updates)
rrelu() (in module lasagne.layers)

S

sample() (lasagne.init.Initializer method)
ScaledTanH (class in lasagne.nonlinearities)
ScaledTanh (in module lasagne.nonlinearities)
ScaleLayer (class in lasagne.layers)
set_all_param_values() (in module lasagne.layers)
set_rng() (in module lasagne.random)
sgd() (in module lasagne.updates)
shared_empty() (in module lasagne.utils)
ShuffleBC01ToC01BLayer (class in lasagne.layers.cuda_convnet)
ShuffleC01BToBC01Layer (class in lasagne.layers.cuda_convnet)
sigmoid() (in module lasagne.nonlinearities)
SliceLayer (class in lasagne.layers)
softmax() (in module lasagne.nonlinearities)
softplus() (in module lasagne.nonlinearities)
Sparse (class in lasagne.init)
spatial_dropout() (in module lasagne.layers)
SpatialPyramidPoolingDNNLayer (class in lasagne.layers.dnn)
SpatialPyramidPoolingLayer (class in lasagne.layers)
squared_error() (in module lasagne.objectives)
standardize() (in module lasagne.layers)

T

tanh() (in module lasagne.nonlinearities)
total_norm_constraint() (in module lasagne.updates)
TPSTransformerLayer (class in lasagne.layers)
TransformerLayer (class in lasagne.layers)
TransposedConv2DLayer (class in lasagne.layers)

U

Uniform (class in lasagne.init)
unique() (in module lasagne.utils)
Upscale1DLayer (class in lasagne.layers)
Upscale2DLayer (class in lasagne.layers)
Upscale3DLayer (class in lasagne.layers)

V

very_leaky_rectify() (in module lasagne.nonlinearities)