Index

A

adadelta() (in module lasagne.updates) adagrad() (in module lasagne.updates) adam() (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

bc01_to_c01b (in module lasagne.layers.cuda_convnet)

binary_crossentropy() (in module lasagne.objectives)

C

c01b_to_bc01 (in module lasagne.layers.cuda_convnet) categorical_crossentropy() (in module lasagne.objectives) 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) count_params() (in module lasagne.layers) create_param() (in module lasagne.utils) CustomRecurrentLayer (class in lasagne.layers)

D

DenseLayer (class in lasagne.layers) dimshuffle (in module lasagne.layers) DimshuffleLayer (class in lasagne.layers)

dropout (in module lasagne.layers) DropoutLayer (class in lasagne.layers)

E

ElemwiseMergeLayer (class in lasagne.layers) ElemwiseSumLayer (class in lasagne.layers)

EmbeddingLayer (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.DropoutLayer method) (lasagne.layers.GRULayer method) (lasagne.layers.GaussianNoiseLayer method) (lasagne.layers.LSTMLayer method) (lasagne.layers.Layer method) (lasagne.layers.MergeLayer 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) get_W_shape() (lasagne.layers.Conv1DLayer method) (lasagne.layers.Conv2DLayer method) 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

Initializer (class in lasagne.init)

InputLayer (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.merge (module) lasagne.layers.noise (module)

lasagne.layers.pool (module) lasagne.layers.recurrent (module) lasagne.layers.shape (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) 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) MergeLayer (class in lasagne.layers) momentum() (in module lasagne.updates)

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)

Pool2DDNNLayer (class in lasagne.layers.dnn) Pool2DLayer (class in lasagne.layers)

R

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)

S

sample() (lasagne.init.Initializer method) 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) Sparse (class in lasagne.init) squared_error() (in module lasagne.objectives)

T

tanh() (in module lasagne.nonlinearities)

total_norm_constraint() (in module lasagne.updates)

U

Uniform (class in lasagne.init)

unique() (in module lasagne.utils)

V

very_leaky_rectify() (in module lasagne.nonlinearities)